Senior Evaluation Engineer — Autonomous Driving Flywheel

NVIDIA

Washington (Washington County)

On-site

USD 224,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA is building the future of autonomous driving and evaluating progress through a rigorous eval flywheel. We seek a senior engineer to own this engine end‑to‑end, from architecture and data pipelines to metrics and trust with partner teams.

You will lead the design of golden datasets, metric design (precision/recall), and production‑level tooling. Collaborate with model developers and cross‑team leaders to accelerate evaluation while maintaining high standards and reliability.

Qualifications

  • 12+ years building software, with autonomous vehicles, robotics, or large‑scale ML systems.
  • Strong Python and data engineering skills for production‑scale pipelines.
  • Experience evaluating ML or robotic systems: metric design, ground‑truth datasets, precision/recall.

Responsibilities

  • Own the eval flywheel's strategy and architecture from data to metrics to trusted results.
  • Build tooling for dataset pipelines, metric performance, and quality reporting.
  • Collaborate with senior engineers and AI model teams to speed evaluation iterations.
  • Set high standards for evaluation quality, health of datasets, and release processes.
  • Communicate clearly with engineers and leaders across teams at pace.

Skills

Python
Data engineering
Production-scale pipelines
Technical leadership
Communication
ML evaluation

Education

BS/MS in Computer Science/Robotics or related field

Tools

Golden datasets
Versioning
ML evaluation tooling

Job description

NVIDIA is building the future of autonomous driving and evaluating progress through a rigorous eval flywheel. We seek a senior engineer to own this engine end‑to‑end, from architecture and data pipelines to metrics and trust with partner teams.

You will lead the design of golden datasets, metric design (precision/recall), and production‑level tooling. Collaborate with model developers and cross‑team leaders to accelerate evaluation while maintaining high standards and reliability.

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