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Salary: USD 235,030 - 352,290 / annual
Nuro is a physical AI company developing Level 4 autonomous driving technology. The company has raised over $2B from investors including Uber, NVIDIA, Google, and SoftBank, and operates a universal autonomy platform enabling deployment across robotaxis, logistics fleets, and personal vehicles.
The Risk Aware Planning team owns two critical safety components for L4 driverless deployment: (1) a layer of principled robotics-based safety protections for the autonomy system, and (2) a process for solving every issue observed on road in a fast and trustworthy manner. This team integrates these safety systems with the data-driven autonomy platform and supports real commercial deployment.
In this role, you will own the core logic and software implementation for robotics-based safety protections in the autonomy stack. You will be the primary point of contact for solving real-world autonomy issues, including root cause analysis, design and implementation of principled solutions, and testing and deployment. You will lead and grow a technical team dedicated to this problem area, and work cross-functionally with AI modeling teams, evaluation, systems, and operations.
This is a hands-on leadership role requiring deep technical expertise combined with the ability to grow and mentor a strong engineering team. You will set direction while remaining actively involved in technical problem-solving.
**Requirements:**
- Education: BS/MS/PhD in Robotics, Computer Science, EE/ME/AE, or a related quantitative field
- 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
- 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
- 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
- Judgment & Urgency: A bias toward minimal, principled solutions and a strong sense of urgency for high-quality execution
