Senior Software Engineer - Fail Operational Planning

Senior Software Engineer - Fail Operational Planning Develop algorithmic advancements to expand the robot's ability to drive in complex scenarios. Location: Foster City, CA Compensation: $230,000 - 289,000 USD / year (salary) plus RSUs, Stock Appreciation Rights, sign‑on bonus may be part of a package. Position Type: Full‑time, Hybrid About The Role The Fail Operational Planning team at Zoox works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting‑edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more. On this team, you will contribute to the next generation of algorithmic advancements to expand our robot's ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product‑focused approach towards development. In This Role, You Will: Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base. Collaborate cross‑functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system. Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack. Partner with validation teams to define and execute tests for developed algorithms. Qualifications Master's degree in Computer Science or related field Fluency in C++ Extensive experience with programming and algorithm design Understanding of vehicle kinematics 7+ years of experience in a related field Bonus Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field Experience shipping products to market (commercial robotics, drones, consumer devices, etc.) Demonstrated ability to create real‑time motion planning algorithms in a cross‑functional team Benefits Zoox also offers a comprehensive package of benefits including paid time off (sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr jobs.frontdoordefense.com - Jobboard