Technical Lead Manager (Risk Aware Planning)

Join our team as a Technical Lead Manager in Risk Aware Planning. You will own the core logic and software implementation for robotics-based safety protections, solve real-world autonomy issues, lead and grow a technical team, and work cross-functionally with various teams. You should have 5+ years of industry experience in safety-critical motion planning, a deployment track record, strong judgment and urgency, leadership experience, technical depth in C++ and related fields, and a relevant degree. Benefits include a free Caltrain pass, company stock options, work from home opportunities, and health insurance.

• Posséder la logique de base et la mise en œuvre logicielle pour les protections de sécurité basées sur la robotique dans la pile d'autonomie.
• Être le principal point de contact pour résoudre les problèmes d'autonomie du monde réel, y compris l'analyse des causes profondes, la conception et la mise en œuvre de solutions.
• Diriger et développer une équipe technique dédiée à ce domaine problématique, en travaillant en collaboration avec d'autres équipes.

• 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