Autonomy Engineer, Data
- Location
- San Francisco, CA
- Listed
- 12 days ago
About The Role
We're looking for an engineer to join our autonomy team and build the data systems that help our vehicles learn from real-world driving. Working directly with ML and vehicle software engineers, you'll turn sensor recordings into reliable datasets for model training, evaluation, and debugging.
Your work will drive the autonomy flywheel: turning driving experience into useful training data, enabling better models, and helping the team understand where to improve next. You'll build software across data ingestion, processing, enrichment, and dataset tooling, with initial projects shaped around your strengths and interests.
We welcome early-career engineers with strong software fundamentals and substantial hands-on work through internships, research, open-source contributions, or personal projects.
Our goal is that the person who fills this role would primarily work from Humble Robotics' San Francisco office 5 days a week. We aim to create an in office environment that fosters a collaborative, generative atmosphere where the team can build together.
What You’ll Do
- Work as part of the autonomy team to build the data workflows behind model development, evaluation, and iteration.
- Build and maintain pipelines that ingest, validate, and organize vehicle sensor recordings in our data lake.
- Develop processing workflows that enrich raw recordings with derived signals, perception labels, and road representations.
- Build tools to find, assemble, and load datasets for ML training, evaluation, and debugging.
- Run and improve backfills and reprocessing workflows as algorithms, processing steps, and dataset requirements change.
- Evolve schemas and implement migrations that keep existing data usable as the system develops.
- Investigate data quality issues, processing failures, and performance bottlenecks.
- Collaborate with autonomy teammates to understand their data needs and improve the tools that support them.
What You Bring
- Strong Python skills and software engineering fundamentals, including writing understandable code, testing it, and debugging unfamiliar systems.
- Hands-on technical work involving robotics, autonomous vehicles, computer vision, or other sensor-based systems. Internships, research, and substantial projects count.
- Experience building software to process and organize data, with attention to correctness and failure handling.
- An ability to break down an open-ended problem, make progress independently, and ask for help when needed.
- Curiosity about how data supports autonomy development and a willingness to work through the practical details that make a system reliable.
- Eligibility to work in the United States.
Bonus Points
- Video, multimodal sensor logs, or ML training datasets.
- Databases, schema design, data lakes, or data migrations.
- Batch processing, workflow orchestration, or cloud object storage.
- Dataset enrichment, automated labeling, or map generation.
- Data versioning, reproducible processing, or large-scale backfills.
- Working in shared codebases with code review, automated tests, and tools such as Bazel.
Additional information
We operate in a a fast-moving field, and we don't expect any one candidate to tick every box above. If you're excited about building the systems that enable autonomous trucks to get safely on the road, and your background covers most - but not all - of what we've listed, we'd still love to hear from you. Humble Robotics is built by people who grew into the hardest problems in this field, not just people who'd already solved them.
Compensation
This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Perks and Benefits
- Competitive compensation and equity
- Medical, Dental and Vision coverage for full-time employees
- Take what you need vacation policy
- Fully stocked kitchen with drinks, snacks and weekly catered meals
- Collaborative in office environment located in San Francisco
- As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description.
- A human reviews all AI output and makes a final hiring decision.
- Humble Robotics does not rely on the output to make any employment decisions.
- Some applicants may have a legal right to opt-out of the use of AI as part of our interview process.
- Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process.
About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.
We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure.
Progress has never felt so present.
Equal opportunity and legal notices
Humble Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process, please let our Talent team know.
From Humble Robotics's careers page, first listed on Rolev.ai on October 28, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Autonomy Engineer, Data role at Humble Robotics, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Autonomy Engineer (Mid Career) - Millennium Space SystemsBoeing · El Segundo, CA
- Autonomy Engineer, Technical DocumentationShield AI · San Diego, CA
- Autonomy EngineerCat · Irving, TX
- Autonomy Engineer Intern, Reinforcement Learning, 2027 (HQ)Skydio · San Mateo, CA · $47 – $70/hr
- Autonomy Engineer - PerceptionTycho.AI · Cambridge, MA
- Autonomy EngineerRemedy Robotics · San Francisco, CA
Common questions
Where is the Autonomy Engineer, Data job at Humble Robotics located?
This Autonomy Engineer, Data position at Humble Robotics is located in San Francisco, CA. Always check Humble Robotics's application page for specific state eligibility or relocation policies.
How do I apply for the Autonomy Engineer, Data position at Humble Robotics?
This listing links directly to Humble Robotics's Lever application page. You can apply directly on Humble Robotics's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.