Aurora

Build and own model evaluation pipelines, embedding search, introspection tools, and web and CLI interfaces for analyzing autonomous-driving data. | Requires 5+ years of software engineering, strong Python and SQL, cloud-scale batch or data pipelines, evaluation systems, and distributed compute or container orchestration. | Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What we are looking for We’re searching for a Senior Software Engineer, ML Evaluation & Introspection Infrastructure to join our Behavior Analysis team, reporting to the team’s engineering manager. Aurora’s trucks already haul freight on Texas highways with no one on board, and every new version of the learned model that drives them has to prove, on real driving data, that it is better and safer than the one before. Behavior Analysis builds the systems that make that call: the evals that compare model versions, the embedding search that makes every driving scenario findable, and the introspection tools that show why a model did what it did. Engineers build more than 100 training and eval datasets a week through our tools. We’re a small team, so each engineer owns whole systems, and we work agent-first: our tools are built for AI agents to drive as easily as engineers do. You’ll own core pieces of that loop and help lead what comes next: putting LLMs, VLMs and agents to work on analysis, so questions that take days to answer today take minutes. In this role you will • Build and scale evaluation pipelines that compare model versions on large driving datasets: offline evals, slice-based metrics, regression detection, and model-vs-model reports. • Own embedding and vector-search pipelines over driving data, versioned per model, so engineers can search, cluster and compare how any model represents the world. This is where you’d start: owning embedding generation and search end to end. • Build model introspection infrastructure (attention, attribution, ablations) that turns “why did the model do that?” from a research project into a query. • Help define how frontier LLMs, VLMs and agents change ML analysis here: triaging, labeling, clustering and summarizing driving scenarios and eval results. We already have a prototype using LLMs for data curation, and you’d help decide where it goes next. • Work side by side with the ML engineers training these models to decide what to measure, then make those measurements trustworthy, observable and cheap enough to run on every candidate model. • Build the web app and CLI that engineers and AI agents use to find datasets, training runs, evals and their costs, designed with agents as first-class users. Required qualifications • Typically 5+ years of professional software engineering experience building backend, data or ML infrastructure. • Strong Python, and proficiency with SQL. • Designed and operated large-scale batch or data pipelines on cloud infrastructure, including backfills, retries and cost management. • Built systems that measure or evaluate something: metrics, experimentation, evaluation or analytics platforms. • Experience with distributed compute and container orchestration (e.g. Kubernetes, AWS Batch or similar). Desirable qualifications • ML evaluation infrastructure: eval harnesses, golden datasets, regression detection, A/B model comparison. • Embeddings and vector search, or model introspection and interpretability tooling. • Using LLMs, VLMs or agentic workflows to automate analysis, labeling or data curation. • Autonomous vehicles, robotics or other large-scale sensor data. • Observability for data systems (metrics, alerting, SLOs), and everyday use of AI coding agents. • Coming from backend or data engineering and want to learn ML evaluation? Apply anyway: we’ll teach you the ML side. For roles based in Mountain View, CA: The salary range for this position is $162,000 - $260,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Own end-to-end site launch planning, budgeting, team deployment, and cross-functional coordination to establish sustainable operational performance. | Requires 10+ years in operations, logistics, or program management, including complex cross-functional projects, strong financial acumen, and rapid scaling or site-launch experience. | Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. The Director of Operations Readiness is the central owner of the end-to-end endpoint launch process. You are responsible for the successful activation of new sites, ensuring they are set up for operational excellence, financial viability, and long-term sustainability. You will lead the deployment of specialized operations teams and orchestrate cross-functional efforts across the organization to ensure every launch meets its strategic objectives. Successful candidates will build & develop the team, playbooks and framework to launch new markets and customers within days from contract completion. Key Responsibilities Program Ownership: Own the master launch plan, timeline, and budget for all new endpoint activations. Cross-Functional Leadership: Act as the primary liaison between Engineering, Product, Finance, Legal, Government Affairs, and Operations. Ensure all departments are aligned, hitting milestones, and resolving blockers. Team Deployment: Oversee the selection, training, and deployment of the Senior Operations Manager teams, in-market and centralized resourcing. Strategic Oversight: Directs the deployment of launch progress, identify risks, and implement mitigation strategies to ensure sites reach target volume and operational stability. Executive Reporting: Provide regular updates to executive leadership on launch status, budget adherence, and key performance indicators (KPIs). Capacity Building: Ensure the launch process effectively transitions from "setup mode" to "steady-state" by building robust local leadership and operational capacity. Requirements 10+ years of experience in operations, logistics, or program management, preferably in a high-growth technology or industrial environment. Proven track record of managing complex, cross-functional projects with multiple stakeholders. 4+ years experience leading multiple annual product, site and (or) technology launches nationwide and (or) globally. Strong financial acumen, including budget management and P&L responsibility. Exceptional communication skills, with the ability to influence and align diverse teams. Experience in site launches, facility management, or rapid scaling of operations is highly preferred. Ability to travel for extensive periods of time. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Own and drive full-stack software components and technical projects into production-ready systems supporting real-time fleet operations. | Bachelor's degree with 5+ years in large-scale full-stack systems, proficiency in REST/gRPC APIs, microservices, and translating operational needs into technical plans. | Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What we are looking for Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for a Senior Software Engineer - Aurora Services to join our team. The Aurora Services team sits at the core of Aurora's mission to scale safe autonomous driving. As we scale from operating a small fleet of vehicles to hundreds and thousands on the road, we build the core command-and-control software, real-time operator interfaces, and data tracking tools that enable seamless commercial fleet operations. In this role you will Own substantial full-stack software components and drive technical projects from ambiguous, high-level goals into fully defined, production-ready systems. Play a key role in the design and evolution of the team's software products, APIs, and data pipelines to support real-time fleet operations and operator workflows. Balance tradeoffs between short-term MVPs and scalable long-term software design, coordinating dependencies and work estimates to deliver critical operational functionality smoothly. Establish and guide team best practices for code quality, testing, performance optimization, and documentation, actively participating in code reviews and architecture discussions. Serve as a primary point of contact and subject matter expert for core team components, consulting with interdisciplinary teams across operations, autonomy, and cloud infrastructure to align on deliverables. Identify bottlenecks in existing systems and independently drive meaningful improvements to overall code quality, performance, and system reliability. Advocate for new technologies or shared infrastructure across the company and help integrate them into the team's stack while onboarding and advising peers. Required qualifications BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience. 5+ years of industry experience in software development, with a proven track record of owning and delivering key deliverables within large-scale full-stack systems. Hands-on proficiency across the full software lifecycle, combining core systems and architectural foundations with modern client-facing applications and data storage solutions. Experience designing, refactoring, and maintaining REST/gRPC APIs and microservices. Demonstrated ability to take ambiguous requirements, break them down into actionable technical plans, and execute independently. Strong cross-functional communication skills, with experience advising interdisciplinary partners and translating operational requirements into clean software abstractions. Desirable qualifications Prior experience in real-time distributed systems, fleet management platforms, command-and-control software, or logistics/iot tracking. Experience with cloud infrastructure and deployment tooling (e.g., AWS, Kubernetes, CI/CD pipelines, Docker). Exposure to onboard vehicle software or C++ codebases. For roles based in Pittsburgh, PA: The salary range for this position is $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.