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 in 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.

Requirements

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 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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++data pipelinesETLELTdata modelingschema evolutiondataset managementreliability engineeringmonitoring

Soft Skills

ownershipdata-driven mindsetimpact-forward mindsetdecision makingworking across ambiguous interfaces