Senior Autonomy Engineer, Data Curation
Senior engineer building data pipelines and tooling to curate large-scale autonomy datasets from drone logs and media for ML model training. Requires 5+ years experience, strong Python/C++ skills, and production data pipeline expertise.
About the job
How you'll make an impact
- Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
- Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
- Improve dataset quality and repeatability: versioning, provenance, and automated checks.
- Apply privacy and security requirements throughout our processes (access controls, retention, redaction/anonymization).
- Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.
What makes you a good fit
- 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
- Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
- Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
- Experience with data modeling, schema evolution, and dataset/version management.
- Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
- Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
Nice to have
- Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
- Experience with labeling workflows, annotation tooling, and labeling QA at scale.
- Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
- Experience with vector/semantic search over media or telemetry.
- Experience building hard-mining evaluation loops for ML models.
Compensation
- The annual base salary range for this position is $170,000 - 240,000.
- Equity in the form of stock options.
- Comprehensive benefits packages including group health insurance plans, paid vacation time, sick leave, holiday pay and 401K savings plan.
- Relocation assistance may also be provided for eligible roles.
Skills
Python, C++, ETL, ELT, Data Pipelines, Data Modeling, Schema Evolution, Dataset Versioning, Reliability Engineering, Monitoring, Incident Response
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