Technical Lead Manager, Motion Validation

Nuro•Mountain View, CA

8d•$235,030 - $352,290

About The Position

Nuro is seeking a Technical Lead Manager for Motion Validation to lead and grow a technical team focused on ensuring the safety and quality of their Level 4 autonomous driving technology. This role involves owning the core logic and software implementation for safety protections within the autonomy stack, acting as the primary point of contact for resolving real-world autonomy issues, and collaborating cross-functionally with AI modeling, evaluation, systems, and operations teams. The ideal candidate will have deep technical knowledge in motion and behavior systems, strong robotics problem-solving skills, and hands-on leadership experience.

Requirements

BS/MS/PhD in Robotics, Computer Science, EE/ME/AE, or a related quantitative field.
5+ years of industry experience building safety-critical motion planning, decision making, trajectory optimization, or controls systems for real-world robots or autonomous vehicles.
Demonstrated experience taking robotics behavior from development into real-world operation, including diagnosing and fixing issues found in the field.
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.
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.
A bias toward minimal, principled solutions and a strong sense of urgency for high-quality execution.

Responsibilities

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.