Director of Engineering, Eval Platform

Nuro Nuro · Robotics · CA · AI Platform

Nuro is seeking a Director of Engineering to lead their Eval Platform team, which is responsible for the simulation, evaluation, and validation platform underpinning autonomy development and driverless readiness. This role involves defining the technical vision, execution strategy, and organizational structure for a multi-disciplinary organization. The platform is critical for rapid iteration, assessing safety and performance, and making data-driven deployment decisions. The ideal candidate has deep technical expertise in building simulation systems and evaluation platforms for large-scale ML/robotics systems, and proven experience leading engineering organizations.

What you'd actually do

  1. Define and own the technical vision and roadmap for the Eval Platform, spanning simulation, evaluation infrastructure, and software quality operations.
  2. Lead, mentor, and grow a multi-team organization (managers and senior ICs), fostering a culture of technical excellence, ownership, and continuous improvement.
  3. Build and scale simulation and eval capabilities that support both rapid autonomy iteration and rigorous validation use cases.
  4. Own the autonomy evaluation and validation platform, and partner closely with Autonomy and Systems leadership, ensuring it is reliable, scalable, and trusted by autonomy engineering, validation, and leadership
  5. Represent Eval Platform at the executive level, clearly communicating tradeoffs, progress, risks, and readiness

Skills

Required

  • Deep technical expertise in building simulation systems
  • Deep technical expertise in building evaluation platforms for large-scale ML / robotics systems
  • Strong understanding of autonomy and validation
  • Proven experience leading and scaling high-impact engineering organizations, including managers and senior ICs
  • Ability to translate complex technical signals into clear, actionable insights for senior leadership

Nice to have

  • Comfortable operating in a fast-paced, high-ambiguity environment

What the JD emphasized

  • mission-critical
  • rigorous validation
  • high quality tools
  • senior leadership

Other signals

  • simulation
  • evaluation
  • validation
  • ML
  • robotics