Technical Lead, Evaluation Infrastructure

Nuro Nuro · Robotics · CA · Offboard Infrastructure

Technical Lead for Evaluation Infrastructure at Nuro, focusing on building and owning a unified metrics, evaluation, and validation platform for L4 driverless deployment. The role involves setting technical direction, mentoring the team, and ensuring the quality and scale of evaluation pipelines, leveraging both heuristic and ML-based approaches. This role is critical for enabling rapid software iteration and rigorous safety validation in the autonomous driving domain.

What you'd actually do

  1. Build and own a unified metrics, evaluation, and validation platform — pipelines, introspection tooling, and analysis products that turn on-road and simulation logs into high-fidelity signals for autonomy iteration and driverless safety validation
  2. Drive the technical bar for metric quality across both heuristic and ML-based approaches; invest in the scale, reliability, and CI/CD of the evaluation stack to shorten time-to-signal for evaluation and time-to-confidence for validation, and to meet high SLAs for downstream stakeholders
  3. Mentor and grow the Evaluation Infrastructure team, and champion AI-native engineering practices that compound team velocity and code quality
  4. Partner with Product, Autonomy, Systems & Safety, and Simulation teams to define and execute the vision and strategy for evaluation at Nuro

Skills

Required

  • Python
  • C++
  • distributed systems
  • large-scale data and ML evaluation pipelines
  • metrics frameworks (heuristic and/or ML-based)
  • analytics platforms
  • engineering leadership
  • technical vision
  • roadmap prioritization
  • communication
  • stakeholder management

Nice to have

  • data engineering
  • batch and streaming data processing
  • warehousing and analytics solutions
  • data workflow orchestration platforms
  • evaluation, validation, or analytics platforms in autonomy, robotics, or safety-critical systems

What the JD emphasized

  • L4 driverless deployment
  • rigorous evidence required to deploy autonomy on public roads
  • high-fidelity metrics
  • safety-critical engineering practice

Other signals

  • Build and own a unified metrics, evaluation, and validation platform
  • Drive the technical bar for metric quality across both heuristic and ML-based approaches
  • Partner with Product, Autonomy, Systems & Safety, and Simulation teams to define and execute the vision and strategy for evaluation at Nuro