Data Engineer

About Humble RoboticsWorking 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.Position OverviewWe're looking for a data engineer to help us turn raw driving data into the well-structured, queryable, and trustworthy datasets that power our autonomy stack. You'll work across the full lifecycle of our data, from ingestion to the point it gets pulled into a training run, and your work will directly shape how quickly the rest of the team can iterate.Key ResponsibilitiesBuild and maintain pipelines that ingest, validate, and process multi-modal sensor logs from our vehiclesDesign schemas and data models that make our driving data discoverable and queryable for ML training, evaluation, and debuggingTurn raw driving data into the derived signals, annotations, and aggregates that downstream teams consumeWrite tooling that the broader team relies on day-to-day: data loaders, query interfaces, dataset assembly utilitiesCollaborate closely with ML, vehicle software, curation, and fleet operations to make sure data flows smoothly from collection through to model trainingContribute to the design of our data stack, making decisions that scale with the team and the fleetMinimum QualificationsBS, MS, or PhD in Computer Science, Engineering, Robotics, or a related field — or equivalent industry experienceStrong proficiency in Python, including writing maintainable code that other engineers will read and extendSolid database fundamentals and an intuition for designing schemas that hold up as requirements evolveWorking understanding of how ML training pipelines consume data, and an eye for designing upstream systems that serve them wellComfortable working in large codebases and modern build/dev environments (Bazel, monorepos, dev containers, or similar)Curious, flexible, and pragmatic — able to pick up unfamiliar tools and reason from first principles rather than relying on prior recipesEligible to work in the United StatesPreferred QualificationsExperience working with data in an autonomous vehicle, robotics, or similar contextFamiliarity with Foxglove, rerun, or similar visualization/data-platform toolingExperience designing or maintaining data catalogs, metadata stores, or feature storesBackground in handling high-volume multi-modal data (video, point clouds, time-series) at terabyte-plus scaleCloud data engineering experience (GCP or AWS — object storage, serverless triggers, batch processing)Comfort operating as an early team member — high ownership, low ego, fast iterationCompensationThis 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.Additional InformationAs 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 **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.