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Technical Lead Manager (Motion Validation)

Exclusive opportunity

Onsite

Technical Lead Manager (Motion Validation)

Nuro

Technical Lead Manager (Motion Validation)

Skills

AI

25 days ago

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Important information


Contract type:

Permanent

Salary:

$235,030 – $352,290 / year

Location:

United States

Work mode:

Onsite

Published on:

2 October 2026

What they need


  • This team owns both these critical safety components and the iteration loop
  • Own the core logic and software implementation for the robotics-based safety protections in the autonomy stack
  • Be the primary POC for solving real world autonomy issues, including root cause analysis, design and implementation of principled solutions, and testing and deployment
  • Lead and grow a technical team dedicated to this problem area
  • Work cross-functionally with AI modeling teams, eval, systems, and operations

Benefits

  • Free Caltrain pass and commuter benefits
  • Company stock options
  • Work from home opportunities
  • Health insurance- We’re looking for someone who is passionate about robotics and safety, excited about the challenge of supporting a real commercial deployment, and enthusiastic about integrating solutions seamlessly with the data-driven autonomy system
  • Experience: 5+ years of industry experience building safety-critical motion planning, decision making, trajectory optimization, or controls systems for real-world robots or autonomous vehicles
  • Deployment Track Record: Demonstrated experience taking robotics behavior from development into real-world operation, including diagnosing and fixing issues found in the field
  • Judgment & Urgency: A bias toward minimal, principled solutions and a strong sense of urgency for high-quality execution
  • Leadership: Experience leading technical projects and mentoring or managing engineers; able to set direction and earn the trust of a strong team while remaining hands-on
  • Technical Depth: Strong C++; solid math (geometry, optimization, probability) and physics (kinematics, dynamics); fluency in optimization-based, sampling-based, and search-based planning, and in combining data-driven with model-based methods
  • Education: BS/MS/PhD in Robotics, Computer Science, EE/ME/AE, or a related quantitative field

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