About The Position

L4 driverless deployment creates an incredibly high bar for behavior quality and safety. This motivates: A layer of principled robotics-based safety protections for the autonomy system. A process for solving every issue observed onroad, in a way that is fast and trustworthy. This team owns both these critical safety components and the iteration loop. 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.

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.

Benefits

  • annual performance bonus
  • equity
  • competitive benefits package
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