AI Automation Engineer, Real-World Test Lab
Niantic Spatial6 hours ago
Base Salary
$158k - $210k/yr
Responsibilities
- Build and own end-to-end automation for Real-World Test Lab evaluations, including environment setup, orchestration, artifact capture, and result collection.
- Instrument scorecards that make results comparable across product versions, devices, and capture conditions.
- Build agent-driven workflows that exercise priority customer use cases at realistic scale.
- Convert one-off experiments and recurring inspections into automated protocols running on relevant releases.
- Produce actionable diagnostics with reproducible cases and attached data, routing findings to the appropriate owners.
- Coordinate with the AI Data Manager to ensure runs are reproducible from known dataset states without manual data transfers.
Requirements
- Production-grade automation or test infrastructure experience that other engineers relied on daily.
- Experience evaluating systems using graded quality, accuracy, or latency thresholds rather than only pass/fail assertions.
- Strong Python skills and fluency with orchestration, CI-style pipelines, cloud storage, and reproducible environments.
- Experience integrating with backend services and APIs owned by other teams.
- Ability to document technical findings clearly enough for non-authors to act on them without a meeting.
- Bachelor's degree in a relevant field or equivalent experience.
Benefits
- Base compensation includes an annual bonus, equity, medical, dental, vision, 401(k), and additional benefits.
- The role is based in the San Francisco office with three days per week in the office.
About Niantic Spatial
Niantic Spatial builds computer‑vision and spatial computing software that maps real‑world environments and localizes people and machines within them. The company offers a platform with APIs and SDKs for creating AI‑native digital twins, visual positioning, and spatial question‑answering, serving robotics, AR/VR, defense, and industrial operations. Privately held, it sells its technology to enterprises that need precise, geometrically accurate understanding of physical spaces beyond GPS or screen‑bound systems.