Torc Robotics

Architect and maintain backend services and data pipelines for map validation and annotation platforms with technical leadership. | 5+ years backend development experience with Python and SQL, bachelor's degree, and expertise in system design and data modeling. | About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team The Senior Software Engineer will be a technical leader on the Fleet Enablement & Insights team, responsible for architecting and building systems that span two critical pipelines for Torc's autonomous truck platform: the map validation and simulation pipelines and the annotation platform. This role owns hard engineering problems behind both, designing scalable services and data pipelines that package maps for simulation, validate mapping updates before release, and the systems required for scalable web-based annotation tooling. The ideal candidate is a seasoned backend or full-stack engineer who thrives in a fast-paced environment, sets the technical bar for others, and is energized by complex data engineering, distributed systems, and geospatial simulation challenges. This position offers the opportunity to work at the intersection of software engineering, autonomous systems, and large-scale data operations, with a direct line of sight to the data that trains and validates the AV stack. What You’ll Do Architect, build, and own backend services and data pipelines that power the map validation and simulation pipelines for the autonomous trucking platform. Provide technical leadership to the annotation platform building scalable web-based annotation tooling including cuboid and polygon editing, cross-frame interpolation and track propagation, attribute editing, and review-first (accept/reject) workflows. Design robust data models and storage architectures across relational, spatial, and large-scale object stores, ensuring data integrity, lineage, and performance from ingest through delivery. Build high-performance point cloud and image rendering with three.js/WebGL: octree/LOD-based streaming formats, predictive prefetching for smooth frame scrubbing, camera-LiDAR projection, and multi-sensor overlays across a high camera count. Leverage AWS cloud services (e.g., S3, Lambda, ECS, RDS) to build and deploy scalable, reliable pipelines and services, and set the standards for how the team builds on them. Drive technical design and architecture decisions across the map validation and annotation platform domains, weighing tradeoffs, documenting direction, and aligning stakeholders. Collaborate closely with cross-functional teams including Mapping, Simulation, Annotation, and Perception to align capabilities with upstream and downstream requirements. Mentor engineers through code reviews, design reviews, and pairing, and raise the bar for engineering excellence, documentation, and operational rigor across the team. Identify and drive down technical debt, performance bottlenecks, and reliability gaps across the map validation and annotation stacks, and lead the response when they surface in production. What You’ll Need to Succeed Strong experience (5+ years) building and operating production backend services at scale. Expertise in Python, with a track record of designing and shipping production-quality services and tools. Strong proficiency with SQL for querying, transforming, and analyzing relational and analytical data. Experience designing and building web services and APIs that support web-based tooling, with strong knowledge of TypeScript and modern web frameworks (backend depth required; full-stack a strong plus). Working knowledge of C++, or the ability to ramp into it. Strong database and data-modeling expertise, including hands-on experience with PostgreSQL or similar, and designing schemas for integrity, lineage, and performance. Demonstrated ownership of system design and architecture for complex, multi-service or multi-pipeline systems. Proficiency with Git and GitHub for version control, branching strategies, and collaborative code workflows. Familiarity with JIRA or similar project management tools for tracking tasks, bugs, and sprint deliverables. Strong software engineering fundamentals including data structures, algorithms, distributed systems, and reliability engineering. Strong written and verbal communication skills, with the ability to lead technical discussions and collaborate across technical and non-technical stakeholders. Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience. Bonus Points Experience designing data annotation, labeling, or data-delivery platforms and the web tooling behind them. Familiarity with PostGIS for advanced spatial queries, geometry operations, and geospatial data management. Experience working with large binary or sensor datasets (point clouds, imagery, video) and optimizing data-heavy user interfaces for performance. Experience with point cloud rendering and streaming formats (octree/LOD structures such as Potree or COPC, 3D Tiles, LAS/LAZ) or large-scale spatial data structures. Experience with browser-based 3D graphics (three.js, WebGL, or similar), or strong graphics fundamentals and a demonstrated ability to ramp quickly. Prior experience working with High-Definition (HD) maps, map formats (e.g. OpenDRIVE, NDS, Lanelet2), or map production pipelines. Familiarity with robotics data and visualization ecosystems (e.g., Rerun, Foxglove, MCAP, ROS bags). Background in autonomous trucking or autonomous vehicles, with an understanding of how map and annotation data feed the AV stack. Contributions to open-source geospatial, data engineering, simulation, robotics, or annotation projects. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102972 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD

Lead architecture and design of autonomous driving core frameworks and mentor engineers. | Bachelor's degree and 6-8+ years experience with deep expertise in C++17 and autonomous systems or robotics. | About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team The Senior Autonomy Core Frameworks Software Engineer plays a critical role in architecting and advancing the foundational frameworks that underpin Torc's autonomous driving stack. This role helps in owning technical direction for the software in core autonomy components, helping to raise the bar on code quality, and driving improvements across the autonomy software. As a senior technical leader, you will collaborate closely with the Behavior and Perception teams within Autonomy to design robust, composable architectural patterns that serve as the foundation for safe, performant, reliable autonomous operation. This position demands deep technical expertise in software architecture and autonomous vehicle fundamentals. What You’ll Do Lead the architecture, design, implementation, and evolution of core frameworks that serve as the foundation for Torc's autonomous driving stack, including state management, inter-component communication, abstraction layers, and common utilities used across all software systems. Drive the technical direction for real-time C++ architectural components and patterns responsible for reliable system-wide data flow, component coordination, error handling, and operational observability. Establish scalable architectural patterns and abstractions that enable autonomous driving capabilities while driving technical tradeoff discussions and long-term design decisions that shape the entire platform. Collaborate across Behavior and Perception teams to keep integration boundaries clean and shared abstractions coherent. Lead architecture reviews, design discussions, and code reviews while establishing engineering standards that improve reliability, maintainability, testability, and scalability across the platform. Mentor software engineers through technical coaching, architectural guidance, and day-to-day collaboration while raising engineering standards and fostering technical excellence across the organization. Champion architectural quality through systematic validation, comprehensive testing strategies, observability frameworks, and production readiness practices that ensure platform robustness at scale. Contribute to root cause analysis of complex platform-level issues and drive architectural improvements that enhance system reliability, performance, and operational resilience. Define and evolve simulation and validation frameworks that enable rigorous testing of core architectural components across diverse operational scenarios and edge cases. Evaluate emerging architectural patterns, systems research, and advanced techniques that can strengthen the platform's foundation and enable future autonomous driving capabilities. Communicate complex architectural concepts and technical vision effectively across engineering teams, product, and leadership while building consensus around platform direction and technical strategy. What You’ll Need to Succeed Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or related technical discipline with 8+ years of professional software engineering experience, or Master's degree with 6+ years of professional experience, or Demonstrated success designing and evolving complex, production software platforms with ownership of architectural decisions Deep experienced with C++17 and recent standards Comfortable with using Python to help script and glue systems together Experience working across autonomous systems/robotics, distributed systems, or complex embedded environments using middleware with pub-sub communications patterns Strong experience with testing, continuous integration, and build systems Deep experience with systems-level software design, including experience managing technical debt, refactoring large codebases, and evolving platforms while maintaining stability and performance. Experience mentoring engineers through technical leadership, architecture reviews, code reviews, and establishing engineering standards that scale across organizations. Strong mastery of software engineering fundamentals including modular/composable architecture, design patterns, concurrency, testing strategies, and long-term maintainability. Bonus Points Experience architecting, maintaining, and using robotics middleware's (E.g., ROS 2) Deep expertise in distributed systems design, including consensus algorithms, state synchronization, event-driven architectures, deterministic replay, etc. Familiarity with ISO 26262, SOTIF, ASPICE, or other safety-critical software development standards. Experience with GitHub Actions and Jenkins Experience with Bazel and Bazel-based build systems Experience designing or building observability, logging, and monitoring systems for complex distributed systems. Experience working with simulations for regression testing Experience managing versioning and conversion of data schemas at scale Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102923 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD

Design and maintain platform infrastructure and services to support software development and testing workflows for autonomous vehicles. | 6+ years experience, strong software architecture skills, proficiency in Python or similar, infrastructure-as-code, CI/CD, observability, and troubleshooting expertise. | About the Role: We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. Responsibilities: • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments. • Periodic oncall shifts during business hours focused on incident response and operational support for teamowned services. • Provide support and troubleshooting to internal customers. • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems. • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure. • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability. • Mentor engineers and elevate technical standards across design, implementation, and operations. Competencies: • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions. • Strong proficiency with Python or another modern object-oriented programming language. • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc. • Experience building intuitive, extensible, well-documented APIs. • Strong understanding of CI/CD concepts, tooling, and engineering workflows. • Experience managing technical infrastructure across cloud-based and bare-metal environments. • Experience with observability, telemetry, and monitoring platforms such as Datadog. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Strong troubleshooting skills, including real-time debugging and deep log-based analysis. • Experience with performance analysis, operational metrics, and system reliability practices. Qualifications: • Bachelor's or Master's Degree in Computer Engineering, Computer Science, or a related technical field. • 6 or more years of relevant industry experience. Nice to Have: • Experience with hardware-in-the-loop test automation for embedded, robotics, or vehicle platforms. • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies. • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure.

Design and maintain platform infrastructure and services supporting software development and testing workflows, including operational support and mentoring. | 6+ years experience, strong system design, Python or similar, infrastructure-as-code, CI/CD, observability, troubleshooting, and cloud/bare-metal infrastructure management. | About the Role: We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. Responsibilities: • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments. • Periodic oncall shifts during business hours focused on incident response and operational support for teamowned services. • Provide support and troubleshooting to internal customers. • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems. • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure. • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability. • Mentor engineers and elevate technical standards across design, implementation, and operations. Competencies: • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions. • Strong proficiency with Python or another modern object-oriented programming language. • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc. • Experience building intuitive, extensible, well-documented APIs. • Strong understanding of CI/CD concepts, tooling, and engineering workflows. • Experience managing technical infrastructure across cloud-based and bare-metal environments. • Experience with observability, telemetry, and monitoring platforms such as Datadog. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Strong troubleshooting skills, including real-time debugging and deep log-based analysis. • Experience with performance analysis, operational metrics, and system reliability practices. Qualifications: • Bachelor's or Master's Degree in Computer Engineering, Computer Science, or a related technical field. • 6 or more years of relevant industry experience. Nice to Have: • Experience with hardware-in-the-loop test automation for embedded, robotics, or vehicle platforms. • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies. • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure.

Design and maintain platform infrastructure and services to support software development and deployment workflows with mentoring and operational support. | Senior-level software engineer with strong system design, programming, infrastructure-as-code, CI/CD, observability, and troubleshooting skills, plus 6+ years experience and relevant degree. | About the Role: We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. Responsibilities: • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments. • Periodic oncall shifts during business hours focused on incident response and operational support for teamowned services. • Provide support and troubleshooting to internal customers. • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems. • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure. • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability. • Mentor engineers and elevate technical standards across design, implementation, and operations. Competencies: • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions. • Strong proficiency with Python or another modern object-oriented programming language. • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc. • Experience building intuitive, extensible, well-documented APIs. • Strong understanding of CI/CD concepts, tooling, and engineering workflows. • Experience managing technical infrastructure across cloud-based and bare-metal environments. • Experience with observability, telemetry, and monitoring platforms such as Datadog. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Strong troubleshooting skills, including real-time debugging and deep log-based analysis. • Experience with performance analysis, operational metrics, and system reliability practices. Qualifications: • Bachelor's or Master's Degree in Computer Engineering, Computer Science, or a related technical field. • 6 or more years of relevant industry experience. Nice to Have: • Experience with hardware-in-the-loop test automation for embedded, robotics, or vehicle platforms. • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies. • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure.

Design and maintain ETL/ELT pipelines and data models to support business intelligence reporting. | Bachelor's degree and 4+ years experience with Python, SQL, ETL pipelines, and BI tools. | Meet the Team: Torc's BI team partners across the business to bring visibility and reporting that help leadership and teams make faster, better-informed decisions. This is an exciting opportunity to help define how data engineering and BI work together at Torc, with real influence over the architecture and tooling. What You'll Do: Design, build, and maintain ETL/ELT pipelines that power our data architecture. Structure and optimize tables and views to support fast, reliable reporting and dashboard performance. Build data quality checks, validation, and documentation so stakeholders can trust the numbers behind leadership and board-level reporting. Partner with BI analysts and business stakeholders to understand how data will be consumed downstream, translating reporting needs into data models and pipelines. Support and help evolve leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting. Help migrate existing AWS/Athena-based data delivery to our Databricks platform. Define, instrument, and maintain business KPIs from scratch using SQL and Python. Contribute to hands-on dashboard development as interest and BI tooling needs align. What You'll Need to Succeed: Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering (equivalent experience considered). Hands-on data engineering experience — building and maintaining ETL pipelines, data quality checks, and structuring tables vs. views for reporting performance. Proficiency in Python, PySpark, or similar for pipeline / ETL development, and experience with pandas, numpy, or other data analysis tooling. Strong SQL or similar skills. Understanding of how data is consumed downstream and willingness to work with consumers on improvements. Experience with BI tools such as Tableau, Power BI, or QuickSight. Comfort working with ambiguous, evolving requirements and partnering directly with stakeholders across the business. Bonus Points: Experience with the Databricks platform, particularly for serving data, visualizations, and jobs. AWS experience, particularly Athena, Glue, or other managed data services. Knowledge of relational, NoSQL, vector, and data warehouse architectures. Hands-on dashboard-building experience, or strong interest in developing it. Experience scaling data for ML/AI workloads (e.g., Ray). Background in automotive, AV, robotics, or other safety-critical data environments. Work Location: Ann Arbor, MI is the hiring hub for this role; remote candidates are considered. Hiring Range for Job Opening US Pay Range $139,000—$166,800 USD

Lead technical direction and development of simulation-based testing infrastructure for autonomous trucks. | Requires 10+ years experience, deep simulation testing knowledge, leadership, and mentoring skills, with expertise in C++ and Python preferred. | About The Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team Our simulation team is the critical technical bridge between verification, model delivery, and autonomy consumers, building the foundation for AV 3.0 driver-out development and certification. We develop and integrate robust, scalable cloud-based simulation tools and infrastructure that support massive-scale, parallel execution for V&V and high-throughput RL training. As a Staff Software Engineer, you'll set technical direction for how the team approaches simulation-based V&V and RL training infrastructure, and act as a senior technical voice across verification, model delivery, and the teams that consume our simulation tools. What You'll Do • Define, build, and support testing of our autonomous trucks in a virtual testing environment, using a combination of data replay from real-world test data and simulation of real-world test and driving scenarios. • Own technical direction and key architecture decisions for our simulation-based test environments and infrastructure, driving consensus across the simulation team and the teams it supports. • Serve as the team's subject matter expert in the use of simulation, generating test scenarios, providing feedback on simulation tool features, and supporting other teams in adopting and using our simulation tools effectively. • Support testing of virtual driver software, and provide guidance on the use of simulation-based and data replay-based tools and test environments across the organization. • Develop simulation-based test scenarios, oversee execution of test plans and associated scenarios in simulation and replay-based test environments, and perform post-test activities including test event log analysis. • Identify requirements for new or modified virtual testing tools, test infrastructure, and simulations of real-world components, including vehicle sensors and their related environment. • Drive alignment across verification, model delivery, and autonomy consumer teams, representing the simulation team's roadmap, constraints, and priorities to peer teams and leadership. • Formally mentor and develop engineers on the team, including more senior individual contributors, and help set the technical bar for the group. • Lead process improvements across simulation-based testing practices, and report out to product and quality management on testing progress and technical risk. What You'll Need To Succeed • Demonstrates competencies and technical proficiencies typically acquired through one of the following: • Bachelor's Degree in Computer Science, Computer Engineering, Robotics Engineering, Systems Engineering, or an engineering equivalent, plus 10+ years of experience • Master's Degree in a related field, plus 7+ years of experience • PhD in a related field, plus 5+ years of experience • Considered highly skilled and proficient in discipline, conducting complex, important work under minimal supervision and with wide latitude for independent judgment. • Strong understanding of the Software Development Lifecycle (SDLC). • Deep understanding of how simulation-based testing can be applied, including the appropriate use of recompute simulation. • Extensive experience developing test scenarios and debugging complex software issues. • Experience with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation and testing methodologies. • Proven ability to lead virtual testing events across specific areas of the system, tracing and troubleshooting the entire software stack. • Demonstrated experience mentoring and developing engineers, including more senior individual contributors. • Experience reporting out to product and quality management on testing progress and driving resolution of technical risk. Bonus Points! • Programming experience in C++ and Python (scripting). • Experience with ROS (Robot Operating System). • Software and system troubleshooting and problem-solving, with a specific focus on system-level analysis, fault isolation, and identification. • Working knowledge of Test-Driven Development methodology and test framework architectures. • Experience with Kanban, Scrum, or Scaled Agile development. • Experience acting as a technical lead across multiple simulation or V&V initiatives. Perks of Being a Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Hiring Range for Job Opening US Pay Range $186,200 - $223,400 Job ID: R-102930

Design and deploy data pipelines and quality control systems for autonomous vehicle perception model training with technical leadership. | Bachelor's or Master's degree with 3 to 6+ years experience, strong software engineering skills, ML data infrastructure, and Python proficiency required. | About the Company: At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: The Pseudo-Labeling team's goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, etc. The annotations are then used by different downstream users — for example, perception teams use them to train various models, and simulation teams use them for generating new data. This role sits at the intersection of that pseudo-labeling data and the online perception team, building the systems that select, package, and deliver the right data to feed on-demand model training. What You'll Do: Design, implement, test and deploy tooling and pipelines for internal quality control and issue identification of pseudo-labeled data, ensuring annotations meet the bar required by downstream model training. Provide statistical support and report on pseudo-label quality, coverage, and pipeline health to internal stakeholders and leadership. Support secondary data selection (virtual packaging) to curate and feed on-demand data to online model training. Support the build-out of the ML data delivery system that enables the online perception team to train models on-demand. Drive general pipeline improvement and optimization across the pseudo-labeling and data delivery stack, identifying and resolving bottlenecks in throughput, quality, or reliability. Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving. Independently develop tools, services, and algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications. Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics and ML training workflows. Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation. Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. Develop guidelines and standards for data quality control, data delivery systems, and their deployment, and associated processes. Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members. What You'll Need to Succeed: Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group. Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR; Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR; Required Qualifications (some combination of the following skills): Familiarity with the offline perception stack in general, and knowledge of how pseudo-label data is produced and related best practices. Strong software engineering background building and operating data pipelines and services at scale. Statistical analysis and reporting skills, with the ability to translate data quality findings into actionable insights. Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality. Model Data Curation – Parquet data processing (PyArrow, Daft, Pandas, etc). Development Tools & Eco-System (at scale) – Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker. Experience with distributed data processing and/or ML frameworks – PyTorch, Lightning, Ray, or similar. Bonus Points! Experience with large-scale data delivery systems and associated quality control. Pseudo-labeling experience in general. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: R-102833 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD

Build and maintain production-grade data pipelines and collaborate with ML engineers to deploy tagging models and manage AWS infrastructure. | 5+ years software engineering experience focused on production data pipelines or ML infrastructure with proficiency in Python, AWS, Databricks, and CI/CD. | About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing. What You'll Do Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data. Build and maintain the data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database. Own CI/CD for the Auto Tagger pipeline using GitHub Actions, keeping deployments reliable, tested, and repeatable. Write production grade code in Python across the pipeline, from data ingestion and transformation through model integration and deployment. Build and operate on Databricks for large scale data processing, interactive querying, and pipeline orchestration. Design, deploy, and scale AWS infrastructure (as code) to support high-volume, distributed processing of vehicle log pipelines — working with structured/tagged outputs and metadata. Instrument pipelines with logging, metrics, and alerting; own on-call response for tagging job failures and data quality regressions. Partner with ML engineers on the team to take tagging and classification models from development into a scalable, monitored production pipeline. Ensure data quality and metadata integrity as tagged events move from raw logs into the observations database used by perception, simulation, and systems teams. Troubleshoot and improve pipeline performance, reliability, and cost as data volume and model complexity grow. What You'll Need to Succeed BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure work. Strong Python skills, with experience building and maintaining production data or ML pipelines. Hands-on CI/CD experience, GitHub Actions required. Required experience with Databricks for large scale data processing and orchestration. Required experience with AWS, including infrastructure-as-code (Terraform or CloudFormation) for provisioning distributed processing infrastructure. Experience processing large scale time series or unstructured datasets. Experience with observability tooling (e.g., Datadog, Grafana, CloudWatch) for production pipeline monitoring and alerting. Experience integrating and deploying ML models into production systems — serving, monitoring, and rollback, not just training. Strong communication skills to work across ML, perception, and simulation teams. Bonus Points! Familiarity with auto-labeling pipelines, VLMs, or zero-shot classification for scenario extraction. Experience with distributed compute frameworks such as Ray, Spark, or Daft. Familiarity with robotics data formats (ROS bags, MCAP) and columnar storage formats (Parquet, Arrow). Experience with model serving frameworks such as vLLM or SGLang. Familiarity with scenario description standards like Pegasus layers. Perks of Being a Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: R-102834 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD