Senior Software Engineer, Driving & Fail-Op Planning

Zoox; Foster City (CA); On-site; USD 230,000 - 332,000; Full time

Benefits offered by this job

RSUs

Sign-on bonus

Health insurance

Stock Appreciation Rights

Job summary

Zoox in Foster City, CA is seeking an engineer for the Fail Operational Planning team to advance robot driving in complex scenarios. You will own algorithmic improvements and work across the driving stack with a cross-functional group of experts, including Planner, Perception, Prediction, Hardware, and more.

You'll architect scalable solutions, verify behavior through rigorous tests with validation teams, and ship real-time motion planning enhancements that improve uptime, safety, and customer

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.

Responsibilities

• 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.

Skills

C++

Algorithm design

Vehicle kinematics

Robotics experience

Education

Master's degree in CS or related field

PhD in CS/EE/ME or related field

Job description

Zoox in Foster City, CA is seeking an engineer for the Fail Operational Planning team to advance robot driving in complex scenarios. You will own algorithmic improvements and work across the driving stack with a cross-functional group of experts, including Planner, Perception, Prediction, Hardware, and more.

You'll architect scalable solutions, verify behavior through rigorous tests with validation teams, and ship real-time motion planning enhancements that improve uptime, safety, and customer