Serve Robotics

Lead firmware development for PCB bring-up, develop diagnostic tools, and troubleshoot hardware–firmware interactions. | 7+ years of embedded firmware experience, expertise with Linux/RTOS, hardware debugging, and communication protocols. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. About The Team The dynamic and diverse Electrical Engineering team at Serve Robotics ensures product safety and effectiveness. Key to driving company success, they collaborate, innovate, and create efficient solutions for high-performance robotic applications. Position Summary The Senior Embedded Engineer drives hardware–firmware integration across multiple designs. This position guides early board bring-up, feature enablement, system integration, and test infrastructure development while collaborating closely with electrical, mechanical, and systems teams to ensure robust hardware performance. Responsibilities Lead firmware development for PCB bring-up, including power-on validation, peripheral testing, and interface bring-up. Architect and implement low-level drivers, diagnostic tools, and early-stage test utilities for new hardware platforms. Develop measurement, monitoring, and logging capabilities to assess hardware performance and reliability. Partner with the hardware team to troubleshoot component, signal-integrity, and interface issues. Own creation and maintenance of test firmware, automation scripts, and engineering validation tools. Oversee configuration, execution, and debugging of hardware test benches, fixtures, and development platforms. Provide technical leadership, mentorship, and guidance in root-cause analysis for hardware–firmware interaction issues. Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 7+ years of experience developing embedded firmware in C/C++, Python, and Bash. Expertise with Linux and RTOS-based systems. Strong understanding of real-time behavior, system bring-up, and low-level hardware interfaces. Proficiency with CAN, UART, I2C, SPI, Ethernet, and related communication protocols. Hands-on experience with oscilloscopes, logic analyzers, JTAG, and hardware debugging tools. Background in robotics, consumer electronics, or complex electromechanical systems Preferred Experience, Qualifications, and Skills Familiarity with system modeling, control fundamentals, or sensor integration is a plus.

Develop scalable web tooling and APIs for map annotations and routing data, with emphasis on performance, versioning, and observability. | 6+ years of software engineering experience, proficiency in Python, Go/TypeScript/Elixir, SQL, Graph Databases, cloud systems, CI/CD, and geospatial data handling. | Job Description: • Create web tooling (editor + review UI) to add/modify map annotation needed by the routing service to avoid blocked or challenging areas. • Snap/attach annotations directly to routing graph entities (sidewalk segments and crossings) rather than free‑drawn polygons, with live highlighting of impacted segments to prevent misalignment with base maps. • Compute delivery‑volume impact for each annotation (historical jobs in window), require review when thresholds are exceeded, and surface roll‑forward/rollback previews. • Provide “what‑if” overlays and conflict detection. • Treat annotations and the sidewalk graph as first‑class, versioned artifacts; preserve stable segment IDs and annotation IDs across OSM refreshes and manual edits. • Enforce schemas, validation, and migrations; maintain provenance and audit trails (who/what/when/why) for every change. • Export graph‑coupled annotation artifacts for the Routing Service; validate ingestion and route behavior deltas in CI. • Build performant, scalable APIs (gRPC/REST) that serve map data to the routing engine and the robot fleet. • Design simple, fast workflows for Ops users (bulk edit/import, templated reasons, SLAs for review/approval). • Add RBAC, activity logs, and notifications; create dashboards for annotation coverage, freshness, and compliance. • Instrument routing services with strong observability (SLIs/SLOs, metrics, and tracing) to monitor system health and data freshness. Requirements: • 6+ years of software engineering experience, with a focus on building data platforms, backend infrastructure, or internal developer tools. • Strong proficiency in Python (for pipelines and tooling) and Experience with high-performance backend services using Go/Typescript/Elixir • Strong SQL skills and experience with Graph Databases (e.g., Neo4j, PostgreSQL with recursive queries) or geospatial stores. • Hands-on experience with Cloud systems (AWS/GCP), container orchestration (Kubernetes), and Infrastructure-as-Code (Terraform). • A strong background in CI/CD, unit/integration testing, and writing maintainable, production-grade code. Benefits: • Offers Equity

Design and implement behavior planning and control systems for autonomous sidewalk robots, including architecture, safety, testing, and documentation. | 7+ years in robotics or AI, proficiency in C++ and Python, experience with behavior planning, system debugging, and real-world autonomous systems. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. The Lead Robotics SWE, Behavior Planning defines the technical strategy and architectural backbone that turns mission intent into safe, legible sidewalk motion. This position sets the contracts between mission, mapping, perception, prediction, planning, control, and tele-ops to ensure the system behaves consistently under real-world uncertainty. This role is the technical owner for reliability and observability at this layer, deciding what gets measured, how it’s validated, and when it’s ready to ship. Beyond writing excellent code, the Lead Robotics SWE, Behavior Planning mentors engineers, aligns stakeholders across autonomy and operations, and ensures robots meet policy and compliance expectations as the business expands to new cities. Responsibilities Design and implement advanced behavior planning and control for autonomous sidewalk robots in complex urban environments. Architect mission/route ingestion at the robot level and integrate it with mapping, perception, prediction, planning, and control. Build and own the behavior layer (state machine/behavior tree) for cruise, overtake, peek/yield, and stop/move-to-side behaviors. Define lane selection and speed governance (right/center/road-side) with safety envelopes, comfort limits, and social etiquette. Instrument the stack with structured telemetry (option costs, clearances, interventions) and define KPIs and dashboards for release gating. Drive improvements to the robot’s ability to handle failure scenarios, correct inefficiencies, and compose low-level robotic skills into high-level, goal-directed behaviors. Lead testing and validation efforts in both simulation and real-world deployments, ensuring planning systems are reliable, safe, and performant. Maintain clear and comprehensive documentation of algorithms, codebases, interfaces, and system designs to support cross-team collaboration and long-term maintainability. Qualifications Phd/Master’s degree in Robotics, AI, Computer Science, Mathematics, or a related field. 7+ years of experience in a Robotics or AI related engineering role Strong foundation in behavior planning methods, including state machines, behavior trees, policy learning, and probabilistic planning. Proficiency in C++14/17 and Python; solid systems skills (concurrency, memory, performance). Proven experience debugging and resolving long-tail edge cases in real-world autonomous systems through targeted behavior planning strategies. Proficient in writing efficient, scalable, and robust code in C++ and Python. Excellent written and verbal communication skills, with the ability to articulate technical concepts clearly across teams. What Makes You Stand Out 3+ years technical leadership/architecture experience Hands-on experience with motion planning and control algorithms for autonomous mobile robots. Background in integrating learning based motion planners with traditional planning pipelines for adaptive, real-time behavior. Experience with social navigation policies, occlusion reasoning, probabilistic prediction, and risk-aware planning. Proven ability to design and scale simulation environments using tools like NVIDIA Isaac Sim for development and validation of onboard autonomy. Experience with modern software development workflows, including the Bazel build system and CI/CD pipelines for deploying production-grade autonomy stacks. * Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. While we prefer candidates located in the Bay Area, we are also open to qualified talent working remotely across the: United States - Base salary range (U.S. – all locations): $190k - $230k USD Canada - Base salary range (Canada - all locations): $160k - $190k CAD

Design and build data pipelines, tooling, and APIs for routing and map annotation, ensuring stability, versioning, and performance. | 6+ years in software engineering with backend/data platform focus, proficiency in Python, SQL, experience with geospatial and graph databases, cloud infrastructure, and CI/CD. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Serve Robotics is hiring a Software Engineer to design, build, and operate the annotation tooling and data pipelines behind our routing sidewalk graph. Your work with the operations and autonomy teams to ensure annotations are easy to create correctly, versioned with clear lineage, stable across geometry changes, and immediately impactful to routing decisions and delivery performance. Responsibilities • Create web tooling (editor + review UI) to add/modify map annotation needed by the routing service to avoid blocked or challenging areas. • Snap/attach annotations directly to routing graph entities (sidewalk segments and crossings) rather than free‑drawn polygons, with live highlighting of impacted segments to prevent misalignment with base maps. • Compute delivery‑volume impact for each annotation (historical jobs in window), require review when thresholds are exceeded, and surface roll‑forward/rollback previews. • Provide “what‑if” overlays and conflict detection. • Treat annotations and the sidewalk graph as first‑class, versioned artifacts; preserve stable segment IDs and annotation IDs across OSM refreshes and manual edits. • Enforce schemas, validation, and migrations; maintain provenance and audit trails (who/what/when/why) for every change. • Export graph‑coupled annotation artifacts for the Routing Service; validate ingestion and route behavior deltas in CI. • Build performant, scalable APIs (gRPC/REST) that serve map data to the routing engine and the robot fleet. • Design simple, fast workflows for Ops users (bulk edit/import, templated reasons, SLAs for review/approval). • Add RBAC, activity logs, and notifications; create dashboards for annotation coverage, freshness, and compliance. • Instrument routing services with strong observability (SLIs/SLOs, metrics, and tracing) to monitor system health and data freshness. Qualifications • 6+ years of software engineering experience, with a focus on building data platforms, backend infrastructure, or internal developer tools. • Strong proficiency in Python (for pipelines and tooling) and Experience with high-performance backend services using Go/Typescript/Elixir • Strong SQL skills and experience with Graph Databases (e.g., Neo4j, PostgreSQL with recursive queries) or geospatial stores. • Hands-on experience with Cloud systems (AWS/GCP), container orchestration (Kubernetes), and Infrastructure-as-Code (Terraform). • A strong background in CI/CD, unit/integration testing, and writing maintainable, production-grade code. What Makes You Stand Out • OSM ecosystem familiarity (tagging, footways, JOSM/iD) and experience aligning custom layers to OSM base maps. • Graph and routing context (sidewalk segment/crossing models; stable ID strategies across OSM refreshes). • Analytics integration (BQ/SQL) to compute delivery impact; H3 or spatial indexing a plus. • GCP/Kubernetes experience for hosting services and jobs; Terraform/IaC for reproducible infra. Something Little Extra • You aren't just building tools for routing; you are building the engine that allows the rest of the company to navigate the world. • The tools you build directly determine how well our robots understand their environment. You will see your code translate into physical movement on sidewalks across major cities. Resulting in improved performance of entire fleets of robots. • This role sits at the intersection of traditional backend systems, complex graphing, and modern DevOps practices. • Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. We are also open to qualified talent working remotely across the: United States - Base salary range (U.S. – all locations): $130k - $165k USD

Developing full-stack solutions, API integrations, and cloud-based data architectures. | Extensive experience in full-stack development, API design, cloud services, and data processing with TypeScript, React, Node.js, and cloud platforms. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Serve Robotics is seeking a Senior Machine Learning Engineer, Auto-Labeling to lead the design and implementation of cutting-edge ML models and scalable systems that enable 4D auto-labeling for autonomous foundational models. This role focuses on developing robust and efficient algorithms for automatic generation of supervision information to power the data pipelines for next-generation end-to-end autonomy models. By bridging data engineering, ML systems, and model deployment, this position enables Serve to leverage every robot mile for faster, smarter, and more efficient autonomy development. Responsibilities Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations (objects, trajectories, maps) from multi-modal robot data at scale. Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines. Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles. Collaborate cross-functionally with multiple autonomy teams(e.g ML-infra, mapping, simulation) to align labeling infrastructure with model training and evaluation workflows. Stay ahead of emerging trends in E2E autonomy and data-centric ML, identifying opportunities to productionize state-of-the-art techniques. Mentor and support ML engineers and interns in developing robust data-centric practices, from dataset curation and labeling feedback loops to model monitoring and continuous improvement. Qualifications M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or related field, or equivalent industry experience. 5+ years of experience developing production ML systems, preferably in autonomous driving, robotics, or large-scale data platforms. Strong background in deep learning (PyTorch/TensorFlow) and scalable ML system design (distributed training, dataflow orchestration, and CI/CD for ML). Hands-on experience with multi-modal sensor data (LiDAR, camera, IMU, odometry) and end-to-end model architectures. Strong programming skills in Python and solid software engineering fundamentals (testing, versioning, modularity). Excellent collaboration and communication skills across autonomy, data, and infrastructure teams. What Makes You Stand Out Experience with transformer-based models and E2E self-driving architectures. Contributions to large-scale robotics or autonomous driving ML stacks. Background in self-supervised learning, active learning, or semi-automated labeling systems. Expertise in cloud-native ML pipelines (GCP, AWS, or Azure) and containerization/orchestration frameworks (Docker, Kubernetes, Airflow, Ray). Familiarity with simulation data integration (CARLA, UE5, or internal resim environments). * Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. While we prefer candidates located in the Bay Area, we are also open to qualified talent working remotely across the: United States - Base salary range (U.S. – all locations): $155k - $200k USD Canada - Base salary range (Canada - all locations): $130k - $165k CAD

Developing web tooling, APIs, and data platforms with a focus on geospatial and routing data, including versioning, validation, and observability. | 6+ years of software engineering experience, proficiency in Python, Go/TypeScript/Elixir, SQL, Graph Databases, Cloud systems, and CI/CD. | Job Description: • Create web tooling (editor + review UI) to add/modify map annotation needed by the routing service to avoid blocked or challenging areas. • Snap/attach annotations directly to routing graph entities (sidewalk segments and crossings) rather than free‑drawn polygons, with live highlighting of impacted segments to prevent misalignment with base maps. • Compute delivery‑volume impact for each annotation (historical jobs in window), require review when thresholds are exceeded, and surface roll‑forward/rollback previews. • Provide “what‑if” overlays and conflict detection. • Treat annotations and the sidewalk graph as first‑class, versioned artifacts; preserve stable segment IDs and annotation IDs across OSM refreshes and manual edits. • Enforce schemas, validation, and migrations; maintain provenance and audit trails (who/what/when/why) for every change. • Export graph‑coupled annotation artifacts for the Routing Service; validate ingestion and route behavior deltas in CI. • Build performant, scalable APIs (gRPC/REST) that serve map data to the routing engine and the robot fleet. • Design simple, fast workflows for Ops users (bulk edit/import, templated reasons, SLAs for review/approval). • Add RBAC, activity logs, and notifications; create dashboards for annotation coverage, freshness, and compliance. • Instrument routing services with strong observability (SLIs/SLOs, metrics, and tracing) to monitor system health and data freshness. Requirements: • 6+ years of software engineering experience, with a focus on building data platforms, backend infrastructure, or internal developer tools. • Strong proficiency in Python (for pipelines and tooling) and Experience with high-performance backend services using Go/Typescript/Elixir • Strong SQL skills and experience with Graph Databases (e.g., Neo4j, PostgreSQL with recursive queries) or geospatial stores. • Hands-on experience with Cloud systems (AWS/GCP), container orchestration (Kubernetes), and Infrastructure-as-Code (Terraform). • A strong background in CI/CD, unit/integration testing, and writing maintainable, production-grade code. Benefits: • Offers Equity

Design, build, and maintain large-scale ML infrastructure and data processing systems. | 5+ years supporting ML or data-intensive systems, proficiency with cloud, container orchestration, infrastructure-as-code, and security. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Senior DevOps Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will play a key role in ensuring reliability, security, scalability, and performance across our internal systems, and maintain a suite of internal tools used by dozens of engineers. Your work will make a significant impact on our autonomous capabilities and act as a catalyst for the entire autonomy team, helping us train our next generation of ML models. Responsibilities Deploy and maintain our ML training orchestration system that operates across multiple platforms. Manage cloud and on-premise environments for large-scale distributed data processing and ml training/inference systems. Automate deployment pipelines, monitoring, and alerting for ML and data services. Collaborate closely with data scientists, ML engineers, and autonomy teams to streamline experimentation and model deployment. Maintain and improve CI/CD systems to support rapid development and testing. Implement best practices for system security, reliability, and observability. Optimize infrastructure costs and ensure efficient resource utilization. Support internal developer productivity through tooling, documentation, and support. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience. 5+ years of experience as a DevOps, SRE, or Infrastructure Engineer, preferably supporting ML or data-intensive systems. Strong experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Proficiency in infrastructure-as-code tools such as Terraform or Helm. Solid understanding of CI/CD systems (GitLab CI, Jenkins, ArgoCD, etc.). Experience with Python and SQL Experience with cloud security, IAM (Identity and Access Management), and access control Experience analysing and optimizing hardware performance Experience with GPU cluster management What Makes You Stand Out Experience managing large-scale distributed data processing systems. Experience analysing and optimizing ml training workloads Background in observability stacks (Prometheus, Grafana, ELK, OpenTelemetry). Contributions to open-source DevOps or ML infrastructure projects. * Please note: The base salary range listed in this job description reflects compensation for candidates based in the United States. While we prefer candidates located in the U.S, we are also open to qualified talent working remotely across: Canada - Base salary range (Canada - all locations): $130k - 160k CAD

Developing full-stack solutions, API integration, and data analytics automation. | Extensive experience in software engineering, full-stack development, and cloud infrastructure, with leadership experience. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. The Lead Engineer, RL Scaling & Procedural Scenario Generation is responsible for building scalable training pipelines and generating high-fidelity synthetic scenarios. This role designs procedural simulation environments, creates diverse long-tail edge cases, and optimizes RL systems to train robust foundational models. This role sits at the intersection of simulation, machine learning, distributed systems, and content generation and has a high impact on how quickly and safely agents learn in simulation. Responsibilities Develop RL algorithms that can help with terrain intelligence and social navigation behaviors. Design, build, and optimize large-scale RL training pipelines (distributed compute, GPU clusters, containerized workflows). Implement curriculum learning, domain randomization, and multi-agent RL strategies. Optimize RL model performance, sample efficiency, and stability across thousands to millions of simulation steps. Build automated tools for experiment orchestration, rollout collection, and metrics visualization. Develop procedural generation pipelines for synthetic environments, agents, and dynamic behaviors. Build tools to generate long-tail scenarios, sudden appearance of objects, traffic behaviors, rare events, and environmental variations. Create systems for configuration, validation, and scoring of generated scenarios. Collaborate with autonomy, ML, and safety teams to map real-world failures into repeatable synthetic simulation cases. Design APIs to connect RL agents, scenario generators, planners, and environment simulators. Debug and optimize simulation performance (real-time speed, determinism, reproducibility). Work with 3D assets, traffic models, mapping systems (e.g., Isaac Sim, CARLA, Unity, Gazebo). Partner with autonomy, data, and modeling teams to define training objectives and scenario requirements. Translate real-world logs and edge cases into parameterized procedural content. Document tools, frameworks, and workflows for internal users. Qualifications Master’s degree in Robotics, AI, Computer Science, Mathematics, or a related field. 7+ years of professional experience with shipping transformer based AI models handling complex navigation or manipulation tasks in AV or robotics solutions at scale in the real world. 3+ years technical leadership/architecture experience Strong experience with Reinforcement Learning (PPO, SAC, A3C, DQN, multi-agent RL, or equivalents). Hands-on experience with distributed training frameworks (Ray RLlib, Accelerate, PyTorch Distributed, Kubernetes, or similar). Proficiency in Python and C++ for performance-critical simulation or graphics pipelines. Experience building or modifying simulation environments (Isaac Sim, Unity, Unreal, CARLA, Gazebo, MuJoCo or custom engines). Experience with procedural generation (noise functions, rule-based systems, agent scripts, behavior trees). Experience with GPU compute, containers, and cloud infrastructure. What Make You Stand Out Background in generative AI (diffusion, LLMs) for scenario synthesis or environment creation. Experience with traffic simulation (SUMO) or sensor simulation (LiDAR, camera pipelines). Knowledge of CUDA, graphics engines, physics modeling, or rendering. * Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. While we prefer candidates located in the Bay Area, we are also open to qualified talent working remotely across the: United States - Base salary range (U.S. – all locations): $190k - $230k USD Canada - Base salary range (Canada - all locations): $160k - $190k CAD

Build and maintain scalable data pipelines and platforms to process robotics data, ensure data delivery, manage data lifecycle and security, and support ML engineers. | 5+ years software/data engineering experience, proficiency in Python and SQL, experience with large-scale data pipelines and cloud, knowledge of data warehousing, system design, and security best practices. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Senior Data Engineer in the Machine Learning (ML) Infrastructure team you will be helping us build out our petabyte scale data platform supporting data partnerships, ML and autonomy engineers. Your work will directly impact a new revenue stream through commercialization of our robot data. You will be focusing on building highly scalable data pipelines and improving data discoverability features. You will collaborate with ML engineers in the creation of diverse large scale datasets used to train cutting edge ML models that are deployed to our fleet of thousands of robots. Responsibilities • Architect and implement robust, scalable data pipelines to process, synchronize, and package robotics data (e.g., LiDAR, camera, IMU, proprietary maps) for third-party consumption. • Build a data processing and egress platform, ensuring the timely and accurate delivery of datasets according to strict partner SLAs. • Create data lifecycle policies to control cloud data costs. Build and maintain a universal data catalogue of all raw robot data. Create cost monitoring, attribution and alerting systems. • Build data discoverability platform features, use ml models to generate new attributes and maintain efficient, highly scalable search indexes. • Setup data access audit trails and strong security controls managed through IaC. Create lineage maps and expose data traceability capabilities to internal consumers. Qualifications • 5+ years of professional experience in software or data engineering. • Strong programming proficiency in Python, SQL • Hands-on experience building and maintaining large-scale data processing pipelines using cloud technologies • Proficiency with data warehousing and ETL/ELT concepts • Solid understanding of system design, along with data privacy and security best practices What Makes You Stand Out • Hands on experience setting up IaC to orchestrate cloud resources and security policies • Experience with GCP and solid understanding of fully managed cloud infrastructure • Familiarity with robotics data such as lidar, multi-modal camera, mapping, etc • Experience working in a fast paced startup environment • Experience building and optimizing terabyte scale data pipelines

Design and implement scalable data pipelines and platforms to process and deliver large-scale robotics data with strong security, cost control, and discoverability features. | 5+ years software/data engineering experience with Python, SQL, cloud pipeline building, data warehousing, system design, and preferably GCP and robotics data familiarity. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Senior Data Engineer in the Machine Learning (ML) Infrastructure team you will be helping us build out our petabyte scale data platform supporting data partnerships, ML and autonomy engineers. Your work will directly impact a new revenue stream through commercialization of our robot data. You will be focusing on building highly scalable data pipelines and improving data discoverability features. You will collaborate with ML engineers in the creation of diverse large scale datasets used to train cutting edge ML models that are deployed to our fleet of thousands of robots. Responsibilities Architect and implement robust, scalable data pipelines to process, synchronize, and package robotics data (e.g., LiDAR, camera, IMU, proprietary maps) for third-party consumption. Build a data processing and egress platform, ensuring the timely and accurate delivery of datasets according to strict partner SLAs. Create data lifecycle policies to control cloud data costs. Build and maintain a universal data catalogue of all raw robot data. Create cost monitoring, attribution and alerting systems. Build data discoverability platform features, use ml models to generate new attributes and maintain efficient, highly scalable search indexes. Setup data access audit trails and strong security controls managed through IaC. Create lineage maps and expose data traceability capabilities to internal consumers. Qualifications 5+ years of professional experience in software or data engineering. Strong programming proficiency in Python, SQL Hands-on experience building and maintaining large-scale data processing pipelines using cloud technologies Proficiency with data warehousing and ETL/ELT concepts Solid understanding of system design, along with data privacy and security best practices What Makes You Stand Out Hands on experience setting up IaC to orchestrate cloud resources and security policies Experience with GCP and solid understanding of fully managed cloud infrastructure Familiarity with robotics data such as lidar, multi-modal camera, mapping, etc Experience working in a fast paced startup environment Experience building and optimizing terabyte scale data pipelines

As Lead Software Engineer, you will design and scale systems for Serve’s robotics data platform, owning the lifecycle of robot and cloud data. You will also mentor engineers and ensure the platform supports real-time operations and analytics at scale. | Candidates should have 8+ years of software engineering experience, including 2 years in a leadership role. Proficiency in Python, Go, or C++, and experience with large-scale distributed systems on cloud platforms is essential. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale. Responsibilities Technical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives. Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth. Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet. Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt. System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence. Qualifications Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role. Technical Skills: Experience building large-scale distributed systems handling petabytes of data per day Proficiency in at least one of Python, Go, or C++. Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.). Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization. Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable. Soft Skills: Demonstrated ability to lead technical projects from conception to production. Excellent mentorship skills and a passion for growing the capabilities of your team. Strong communication skills and the ability to drive alignment across multiple teams. What Makes You Standout Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices. Hands-on experience with data transformation and modeling tools like dbt. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Experience designing systems that must be resilient to network failures and other real-world interruptions.

The role involves designing, building, and maintaining frameworks to test and validate autonomy software systems. It also includes collaborating with engineers to define test plans and analyzing system logs to identify issues. | Candidates should have a bachelor's degree in a technical field and 2-3 years of experience in a related role. Proficiency in Linux, scripting, and familiarity with task management tools is also required. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. This role supports the development of safe and reliable autonomy software by expanding simulation and real world autonomy software tests, data analysis, and creation of testing processes and tools. The position adds value by helping the team identify issues early, prioritize fixes, and ensure the robot performs well across a wide variety of real-world and simulated scenarios Responsibilities Design, build, and maintain frameworks to test and validate autonomy software systems (e.g., perception, localization, planning, and control) Develop tools and scripts for log, and real-time analysis of autonomy stack behavior Create, configure, and maintain simulation environments to test edge cases, failure recovery, and regression scenarios Collaborate with autonomy engineers to define system-level test plans and develop custom tools that integrate into the development pipeline Analyze system logs and telemetry to identify root causes of autonomy behavior issues and contribute to debugging Author and maintain test cases as part of structured software validation plans, with traceability Exercise independent judgment in selecting testing strategies, tooling approaches, and data collection methods to meet safety and coverage goals Write technical documentation to support autonomy testing infrastructure and data analysis processes Create and maintain test cases for new autonomy features (like detecting obstacles or stopping at crosswalks) Coordinate testing schedules across simulation, field testing, and software sprints Own and maintain technical reports for autonomy bugs with clear reproduction steps and analysis Work with engineers, QA, and field teams to make sure tests reflect real-world situations and robot challenges Qualifications Bachelor’s degree in a technical field (e.g., Engineering, Computer Science, Robotics, or related discipline) 2–3 years of professional experience in a robotics, QA, test engineering, or autonomy-related role Experience working with Linux-based systems and command line tools Scripting knowledge (Python, Bash, or similar) to help automate tasks and organize data Experience with task management tools (e.g., Jira, Notion) and test tracking systems Organized and detail-oriented with a focus on reliability and safety Comfortable working in a fast-paced, test-driven environment Understanding of basic software development workflows, version control (e.g., Git), and CI systems What Makes You Standout Exposure to working with mobile robotics platforms or autonomy stacks (e.g., localization, perception, or planning) Familiarity with analyzing log files, simulation outputs, or autonomy metrics Prior experience coordinating field tests or working with test setups Interest in robotics safety, testing at scale, or data-driven performance evaluation Additional Information This role may require occasional travel to test sites or field deployments (<10%) Candidates should be comfortable working near autonomous robots and test equipment Some flexibility in work hours may be needed during release cycles or field operations

Design, implement, and maintain enterprise IT infrastructure, lead complex troubleshooting and escalations, manage identity and security systems, automate operations, and support robotics delivery systems. | 5+ years IT systems administration experience with expert troubleshooting across Windows, Linux, macOS, knowledge of networking and security, Infrastructure as Code tools, scripting, and preferably certifications and robotics or IoT experience. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. JOB OVERVIEW Serve Robotics is seeking an IT Systems Administrator to implement, and maintain our critical IT infrastructure. You'll serve as the technical escalation point for complex systems issues while designing and deploying enterprise-level solutions that support our growing robotics operations. This role features a mix of advanced troubleshooting, escalations, strategic infrastructure projects, automation, and systems architecture. You'll ensure our IT infrastructure scales securely and reliably to support both corporate operations and robot delivery services. This position reports to the IT Manager. JOB DUTIES Design, implement, and maintain enterprise IT infrastructure including NAS servers, networks, IT cloud platforms, and security systems. Serve as an escalation point for complex technical issues that require advanced troubleshooting and root cause analysis. Implement and maintain identity management systems, SSO solutions, and directory services. Develop no-code automation solutions to streamline operations and reduce manual tasks. Lead major IT projects including system migrations, infrastructure upgrades, and security implementations. Design and maintain disaster recovery and business continuity plans for critical IT systems. Collaborate with security teams to implement advanced cybersecurity measures, compliance frameworks, and threat detection. Monitor system performance, capacity planning, and proactively address potential issues before they impact operations. Mentor junior IT staff and provide technical guidance on complex implementations. Support both corporate IT infrastructure and specialized systems required for autonomous robot operations. Document architectural decisions, system configurations, and operational procedures. EXPERIENCE, QUALIFICATIONS, & SKILLS 5+ years of experience in IT Systems Administration, IT Infrastructure Engineering, or DevOps roles. Expert-level troubleshooting knowledge of Windows, Linux distributions, and macOs. Working knowledge of networking protocols, VPNs, firewalls, and network security. Deep experience with enterprise identity management, SSO implementations, and directory services. Knowledge of Infrastructure as Code tools (Terraform, Ansible, CloudFormation). Experience in a startup like environment. Preferred Qualifications: Relevant certifications (CISSP, MCSE, Okta Certified, Apple ACMT, etc). Experience with containerization and orchestration (Docker, Kubernetes). Proficiency in scripting languages (PowerShell, Python, Bash) and automation tools. Experience with backup and disaster recovery solutions. Background in high-availability system design and scalable architecture. Experience or personal interest in robotics, IoT, or edge computing environments. Knowledge of compliance frameworks (SOC2, ISO 27001, GDPR, CCPA, NIST 63-B).

Manage marketing initiatives, develop and execute communications and marketing plans, create content, oversee campaigns, and coordinate with internal and external teams to grow brand presence. | 5+ years in digital brand marketing or communications, strong writing and presentation skills, proficiency with Google tools and marketing software, organizational skills, and a relevant bachelor's degree. | Description: Reporting into the VP of Communications and Investor Relations and working with various departments, you will manage all marketing initiatives and support our growth strategy.Help build and execute the communications and marketing plan each year, aligning with Serve Robotics leadership to ensure KPIs are met.Grow Serve Robotics’ presence on key social platforms, crafting engaging, on-brand content that resonates with audiences and drives results.Develop high-quality content including blog posts, case studies, videos, and marketing materials to effectively communicate Serve Robotics' value propositions.Oversee the ideation, execution, and measurement of multi-platform campaigns designed to increase brand awareness and drive partner acquisition.Work closely with internal teams, including sales, product, and engineering, as well as external partners like freelancers and agencies, to execute cohesive marketing strategies and create impactful materials, including presentations, one-sheets, and proposal templates.Track, analyze, and report on the performance of marketing efforts, using data to refine strategies and improve outcomes.Supervise and manage agency and freelance relationships, as needed. Requirements: 5+ years of experience in digital brand marketing and/or communications.Proven ability to develop and execute marketing strategies effectively.Excellent written, verbal, and presentation skills.Entrepreneurial mindset with a willingness to roll up your sleeves and tackle challenges creatively.Expertise in Google’s suite of tools (Docs, Sheets etc) and experience with Adobe, Canva, and Hubspot strongly preferred.Strong organizational skills and ability to manage multiple projects in a fast-paced environment.Up-to-date with the latest marketing trends and best practices.Available for periodic travel across the U.S. as needed.Bachelor's degree in Marketing, Business Administration, Communications, or a related field. Advanced degree or relevant certifications (e.g., Google Analytics, HubSpot, etc.) are a plus. Benefits: $129K – $150K • Offers Equity

You will manage all marketing initiatives and support our growth strategy. This includes executing and optimizing communications and marketing campaigns to build brand awareness and drive partner acquisition. | The role requires 5+ years of experience in digital brand marketing and/or communications. A bachelor's degree in Marketing, Business Administration, Communications, or a related field is required, with advanced degrees or relevant certifications being a plus. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Job Overview Reporting into the VP of Communications and Investor Relations and working with various departments, you will manage all marketing initiatives and support our growth strategy. This role is perfect for someone who combines strategic thinking with hands-on executional expertise. You thrive at the intersection of creativity and data, and you’ll be responsible for executing and optimizing communications and marketing campaigns to build brand awareness and drive partner acquisition. You will own the creation and execution of the communications and marketing plan each year, setting KPIs, tracking performance, and collaborating with both internal and external stakeholders to scale your impact. You have experience with communications and messaging, modern content creation systems, and marketing platforms, including press releases, social media, email, video, and podcasts. You are excited about the growing role of AI in communications and marketing, optimizing workflows, and driving measurable results. You understand the role of data analytics and performance marketing in helping to shape strategies that align with our business goals. This is a dynamic, fast-paced environment, and we’re looking for a communications and marketing leader who is ready to roll up their sleeves and collaborate with department heads across sales, operations, product, and engineering to deliver on strategic initiatives. Responsibilities: Strategy & Planning: Help build and execute the communications and marketing plan each year, aligning with Serve Robotics leadership to ensure KPIs are met. Social Media Management: Grow Serve Robotics’ presence on key social platforms, crafting engaging, on-brand content that resonates with audiences and drives results. Content Creation: Develop high-quality content including blog posts, case studies, videos, and marketing materials to effectively communicate Serve Robotics' value propositions. Campaign Management: Oversee the ideation, execution, and measurement of multi-platform campaigns designed to increase brand awareness and drive partner acquisition. Collaboration: Work closely with internal teams, including sales, product, and engineering, as well as external partners like freelancers and agencies, to execute cohesive marketing strategies and create impactful materials, including presentations, one-sheets, and proposal templates. Analytics & Reporting: Track, analyze, and report on the performance of marketing efforts, using data to refine strategies and improve outcomes. Vendor Management: Supervise and manage agency and freelance relationships, as needed. Qualifications 5+ years of experience in digital brand marketing and/or communications. Proven ability to develop and execute marketing strategies effectively. Excellent written, verbal, and presentation skills. Entrepreneurial mindset with a willingness to roll up your sleeves and tackle challenges creatively. Expertise in Google’s suite of tools (Docs, Sheets etc) and experience with Adobe, Canva, and Hubspot strongly preferred. Strong organizational skills and ability to manage multiple projects in a fast-paced environment. Up-to-date with the latest marketing trends and best practices. Available for periodic travel across the U.S. as needed. Bachelor's degree in Marketing, Business Administration, Communications, or a related field. Advanced degree or relevant certifications (e.g., Google Analytics, HubSpot, etc.) are a plus.

Design and maintain CI/CD and release management tooling, build KPI dashboards, integrate GenAI tools, and collaborate on infrastructure to improve software delivery for robotics. | 5+ years in software infrastructure or DevOps with strong Python and systems language skills, expertise in CI/CD and build systems, cloud infrastructure experience, and familiarity with monitoring tools. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Senior Software Engineer on the Infrastructure & Developer Productivity team, you will design and maintain the systems that enable Serve’s engineers to build, test, and ship robotics software faster and more reliably. You will own release management tooling, CI/CD orchestration, and automated KPI dashboards, while also building end-to-end data pipelines that power QA metrics, mapping, and machine learning. A core part of your role will be evaluating and integrating GenAI tools to accelerate developer productivity across the organization. This is a cross-functional role at the intersection of infrastructure, developer tools, and data engineering, giving you direct impact on the speed, quality, and reliability of our autonomous robot fleet. Reponsibilities Design and maintain release management and CI/CD orchestration tooling to streamline delivery pipelines. Build automated KPI dashboards and regression benchmarks to monitor engineering and system performance. Develop internal developer productivity tools that improve setup, testing, and collaboration. Vet, integrate, and scale GenAI-powered tools to improve developer experience and automation. Collaborate with other engineering teams to reduce manual toil and adopt infrastructure best practices. Design, build, and own the infrastructure that enables high-velocity software delivery. Qualifications 5+ years of experience in software infrastructure, developer productivity, or DevOps engineering. Strong programming skills in Python and at least one systems-level language (C++, Rust, etc.). Expertise in CI/CD systems (GitHub Actions, Argo, or similar) and build systems (Bazel strongly preferred). Proficiency with cloud infrastructure (GCP preferred) for scaling builds, tests, and data pipelines. Familiarity with metrics & monitoring systems (Grafana, Prometheus, or equivalent). Strong communication and collaboration skills. What Makes you Stand Out Experience in embedded software development or infrastructure (Robotics, IoT, etc) Hands-on experience with GenAI tools (LLM-based coding assistants, workflow automation, or productivity enhancements). Familiarity with robotics workflows such as simulation frameworks, QA automation, or mapping pipelines. Background in release engineering and developer onboarding tooling. Experience with implementing and maintaining observability tools (Grafana, Datadog, OpenTelemetry) to provide end-to-end visibility, actionable insights, and proactive monitoring across distributed systems.

As a Senior Security Engineer, you will collaborate with senior engineers to implement security best practices across the cloud infrastructure and support threat modeling and risk assessments. You will also develop automation tools for secure configuration management and assist in implementing runtime security measures. | Candidates should have 5+ years of experience in security engineering or related roles, with a solid understanding of cloud platforms and Linux systems. Familiarity with container security and proficiency in scripting languages are also required. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Senior Security Engineer, you’ll work alongside a talented and collaborative team to help protect our platform, infrastructure, and robotic systems. You’ll contribute to security architecture, tooling, and operational improvements while continuing to grow your technical skills in a highly supportive environment. Responsibilities Collaborate with senior engineers to define and implement security best practices across Serve’s cloud infrastructure (AWS/GCP). Support threat modeling, risk assessments, and architecture reviews for key components of our platform. Develop, maintain, and improve automation tools for secure configuration management and continuous monitoring (e.g., image scanning, IAM policy enforcement). Assist in implementing runtime security measures for our containerized workloads (Docker, Kubernetes). Design and deploy endpoint and application security controls to protect managed devices and ensure compliance across the organization. Participate in the triage, investigation, and resolution of security incidents. Contribute to internal documentation and raise security awareness across engineering teams through reviews and knowledge sharing. Participate in the Security team on-call rotation. Qualifications 5+ years of hands-on experience in security engineering, DevSecOps, or infrastructure security roles. Solid understanding of cloud platforms (AWS and/or GCP) and their security services. Strong knowledge of Linux systems and core networking protocols (TCP/IP, DNS, HTTP). Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation. Experience with container security best practices and tools (Docker, Kubernetes). Proficiency in at least one scripting language (Python, Bash, etc.). Excellent communication and collaboration skills across technical and non-technical teams. What makes you standout Familiarity with secure authentication protocols (OAuth, SAML) and cryptographic key management. Experience with vulnerability scanning and compliance tooling. Exposure to security frameworks and standards (NIST, ISO27001, CIS Benchmarks). Programming experience in languages like C, C++, or JavaScript. Security certifications such as AWS Security Specialty, Google Cloud Security Professional, or CISSP. A strong sense of ownership and accountability in your work. The ability to work independently, ask questions, and drive projects forward. Continuous learning and a genuine interest in security across domains. Empathy, clear communication, and a collaborative mindset.

Identify and develop new business opportunities in advertising, manage full sales cycle, build client relationships, and collaborate internally to execute campaigns. | 4+ years media sales experience in out-of-home or experiential advertising, strong agency and brand relationships, excellent communication, CRM proficiency, and valid driver’s license. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Role Overview Serve Robotics is seeking a high-performing Account Executive with a strong track record in Out-of-Home (OOH) and Experiential Advertising sales. Based in New York, you will play a critical role in building and growing our innovative advertising business, helping clients activate one of the market's most unique, tech-enabled media platforms. This is a rare opportunity to be part of a pioneering team at the intersection of robotics, experiential marketing, and emerging media, bringing creativity and innovation to the streets through our sidewalk delivery robots. Responsibilities Identify, prospect, and develop new business opportunities with brands and agencies. Pitch Serve’s advertising and experiential marketing capabilities in a compelling, consultative manner Build and maintain strong, trust-based relationships with key agency and brand stakeholders. Manage a full sales cycle, from prospecting to closing and onboarding Stay informed on Out of Home Advertising trends, client needs, and the evolving media landscape Collaborate internally with marketing, operations, engineering, and product to ensure seamless campaign execution Track and manage opportunities through CRM tools and sales pipelines Consistently meet or exceed monthly and quarterly sales goals Qualifications 4+ years of successful media sales experience, ideally in out-of-home advertising or experiential advertising Proven ability to sell to and build relationships with agencies and brands, and have existing relationships in place. Strong organizational and time management skills Excellent verbal and written communication abilities Valid driver’s license and ability to travel for client meetings and events What Makes You Stand Out Deep understanding of the out-of-home advertising space and experiential advertising Experience using data and analytics to inform client strategies Background in fast-paced, high-growth, or startup sales environments Proficiency in CRM tools and pipeline management platforms This role offers a 5% commission plan on all sales generated!

Design, deliver, and continuously improve training programs for frontline operations staff, ensuring safety, compliance, and operational excellence while collaborating across teams. | 5+ years in training or operations with experience in safety training, OSHA standards, strong communication skills, and ability to manage training in a fast-paced, technology-driven environment. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Serve Robotics is seeking an experienced Training Manager to lead the design, delivery, and continuous improvement of operations training programs for our team that executes last mile robot delivery operations in major US markets. This role is pivotal in ensuring our frontline operators, field technicians, and support staff are equipped with the skills, knowledge, and confidence to deliver safe, efficient, and high-quality service with our robotic delivery fleet. As Training Manager, you will collaborate closely with Operations, Safety, Engineering, and People teams to standardize processes, maintain compliance, and build a scalable training framework that supports company growth. We’re looking for a proven leader with strong operational instincts, a bias for action, and the ability to inspire and develop a front-line team while making data-informed decisions in a high-growth, fast-moving environment. This leader will be pivotal in building and executing a training program that allows for fast onboarding and scaling for a fast growing publicly traded start up. Responsibilities Program Development & Delivery • Design, implement, and manage training programs focused on operational excellence, safety, and compliance for all levels of operations staff. • Develop onboarding curricula for new hires, as well as refresher and upskilling programs for existing employees. • Incorporate hands-on, classroom, and digital learning methods to meet diverse training needs. Process Standardization & Documentation • Create and maintain standard operating procedures (SOPs) and training manuals for operational workflows. • Ensure training aligns with evolving robotics technology, delivery protocols, and regulatory requirements. • Ensure required safety training is implemented and tracked to align with region specific safety training requirements. Evaluation & Continuous Improvement • Monitor and assess training effectiveness through performance metrics, feedback, and field audits. • Introduce data-driven improvements to enhance employee readiness, productivity, and safety outcomes. • Partner with leadership to identify skills gaps and develop targeted training solutions. Collaboration & Leadership • Serve as the primary liaison between Operations, Engineering, and HR for all training-related initiatives. • Train and mentor field trainers, supervisors, and managers to reinforce a culture of learning and operational excellence. • Champion a safety-first mindset across the organization and put in place systems to measure effectiveness of safety culture. Qualifications • 5+ years of experience in training, operations, or learning & development, ideally in logistics, robotics, or technology-driven industries. • Proven experience and understanding of OSHA general industry standards (29CFR1910) • Strong track record of designing and delivering classroom-based and virtual training programs. • Excellent communication and facilitation skills, with the ability to translate complex technical concepts into practical learning experiences. • Knowledge of adult learning principles and training evaluation methods. • Comfort with operational tools and dashboards; familiarity with BI platforms, spreadsheets, and scheduling tools • Experience in safety training, compliance, or regulated industries. • Ability to thrive in ambiguity and scale systems and processes in a fast-evolving operation • Strong analytical skills; proficient in Google Sheets, Jira, and ThoughtSpot (or equivalent BI tools) What Makes You Standout • Experience in robotics, last-mile delivery, autonomous vehicles, or similar operational environments. • Familiarity with learning management systems (LMS) and e-learning development tools. • Continuous improvement and lean six sigma experience in a fast paced start up environment

Design, implement, and manage training programs for operations staff, standardize processes, ensure safety compliance, and lead continuous improvement initiatives. | 5+ years in training or operations, OSHA standards knowledge, strong communication and facilitation skills, experience with operational tools and safety training, and ability to scale training in a fast-paced environment. | At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Serve Robotics is seeking an experienced Training Manager to lead the design, delivery, and continuous improvement of operations training programs for our team that executes last mile robot delivery operations in major US markets. This role is pivotal in ensuring our frontline operators, field technicians, and support staff are equipped with the skills, knowledge, and confidence to deliver safe, efficient, and high-quality service with our robotic delivery fleet. As Training Manager, you will collaborate closely with Operations, Safety, Engineering, and People teams to standardize processes, maintain compliance, and build a scalable training framework that supports company growth. We’re looking for a proven leader with strong operational instincts, a bias for action, and the ability to inspire and develop a front-line team while making data-informed decisions in a high-growth, fast-moving environment. This leader will be pivotal in building and executing a training program that allows for fast onboarding and scaling for a fast growing publicly traded start up. Responsibilities Program Development & Delivery • Design, implement, and manage training programs focused on operational excellence, safety, and compliance for all levels of operations staff. • Develop onboarding curricula for new hires, as well as refresher and upskilling programs for existing employees. • Incorporate hands-on, classroom, and digital learning methods to meet diverse training needs. Process Standardization & Documentation • Create and maintain standard operating procedures (SOPs) and training manuals for operational workflows. • Ensure training aligns with evolving robotics technology, delivery protocols, and regulatory requirements. • Ensure required safety training is implemented and tracked to align with region specific safety training requirements. Evaluation & Continuous Improvement • Monitor and assess training effectiveness through performance metrics, feedback, and field audits. • Introduce data-driven improvements to enhance employee readiness, productivity, and safety outcomes. • Partner with leadership to identify skills gaps and develop targeted training solutions. Collaboration & Leadership • Serve as the primary liaison between Operations, Engineering, and HR for all training-related initiatives. • Train and mentor field trainers, supervisors, and managers to reinforce a culture of learning and operational excellence. • Champion a safety-first mindset across the organization and put in place systems to measure effectiveness of safety culture. Qualifications • 5+ years of experience in training, operations, or learning & development, ideally in logistics, robotics, or technology-driven industries. • Proven experience and understanding of OSHA general industry standards (29CFR1910) • Strong track record of designing and delivering classroom-based and virtual training programs. • Excellent communication and facilitation skills, with the ability to translate complex technical concepts into practical learning experiences. • Knowledge of adult learning principles and training evaluation methods. • Comfort with operational tools and dashboards; familiarity with BI platforms, spreadsheets, and scheduling tools • Experience in safety training, compliance, or regulated industries. • Ability to thrive in ambiguity and scale systems and processes in a fast-evolving operation • Strong analytical skills; proficient in Google Sheets, Jira, and ThoughtSpot (or equivalent BI tools) What Makes You Standout • Experience in robotics, last-mile delivery, autonomous vehicles, or similar operational environments. • Familiarity with learning management systems (LMS) and e-learning development tools. • Continuous improvement and lean six sigma experience in a fast paced start up environment