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.
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.
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.
Compensation
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
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.
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 [email protected] to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Skills Required
- Strong Python skills and software engineering fundamentals, including readable code, testing, and debugging
- Hands-on technical work involving robotics, autonomous vehicles, computer vision, or sensor-based systems
- Experience building software to process and organize data with attention to correctness and failure handling
- Ability to break down open-ended problems, work independently, and ask for help when needed
- Curiosity about how data supports autonomy development and willingness to build reliable systems
- Eligibility to work in the United States
- Experience with video, multimodal sensor logs, or machine learning training datasets
- Experience with databases, schema design, data lakes, or data migrations
- Experience with batch processing, workflow orchestration, or cloud object storage
- Experience with dataset enrichment, automated labeling, or map generation
- Experience with data versioning, reproducible processing, or large-scale backfills
- Experience working in shared codebases with code review, automated tests, and tools such as Bazel
What We Do
Humble Robotics develops autonomous, electric Class 8 haulers designed for efficient and cost-effective commercial freight transportation. Their purpose-built, cabless vehicles blend vision-language-action models with lightweight hardware on a universal platform. By reimagining ground transportation with advanced physical AI, the company aims to structurally lower freight costs, reduce emissions, and provide a complete dock-to-dock solution for global logistics networks.
