Software Engineer - Fail Operational Planning

Zoox; Foster City (CA); On-site; USD 180,000 - 256,000; Full time

Benefits offered by this job

Zoox stock appreciation rights

Amazon RSUs

Health insurance

Job summary

Zoox is seeking an engineer for fail-operational planning to advance motion and behavioral planning in complex driving scenarios. You will own projects and contribute to cross-functional teams across Planner, Perception, Prediction, and Hardware.

The role requires a Master’s degree in CS or related field, strong C++ programming ability, and 4+ years in a related field, with compensation reflecting the senior robotics focus and location in Foster City, CA.

Qualifications

• Master's degree required in Computer Science or related field.
• Fluency in C++.
• Extensive experience with programming and algorithm design.
• Understanding of vehicle kinematics.
• 4+ years of experience in a related field.

Responsibilities

• Create principled algorithmic improvements to driving behavior and implement changes in our code base.
• Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate performance degradation under failure modes.
• Architect and implement scalable solutions ensuring seamless integration with the driving stack.
• Partner with validation teams to define and execute tests for developed algorithms.

Skills

C++ fluency

Algorithm design

Vehicle kinematics understanding

4+ years experience

Education

Master’s degree in Computer Science or related field

Job description

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.

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.

Qualifications

• Master’s degree in Computer Science or related field
• Fluency in C++
• Extensive experience with programming and algorithm design
• Understanding of vehicle kinematics
• 4+ 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

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from$180,000 to $256,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. 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.