Software Engineer - Motion Planning Collision Avoidance

Foster City, CA
Software – Collision Avoidance System /
Full-time /
Hybrid
Zoox is looking for a safety-critical software engineer to join our Planning and Control team. In this role, you will be responsible for bringing cutting edge motion planning and control systems towards high standard safety ratings. This is a multidisciplinary role that will get you exposed to safety-critical system engineering, perception, prediction, and embedded computing. You will lead the effort redefining what cutting-edge AI software can do in high-mission-assurance environments.

Responsibilities

    • You will design, develop, and test safety-critical algorithms and software for the Zoox vehicle
    • You will create software requirements, design documentation, test plans, and other supporting documentation
    • You will follow and implement high assurance software development processes, such as ISO-26262, DO-178
    • You will work cross-functionally with perception engineers, prediction engineers, systems engineers, validation engineers, and other experts to ensure the safety algorithms and software meet the high assurance requirements needed for autonomous driving
    • You will contribute to failure and hazard analyses and implement safety mitigations in the software
    • You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation.

Qualifications

    • MS or higher degree in related field
    • Experience developing highly available mission-critical software
    • Proficient with C/C++
    • Passion for writing production-quality and safety-critical code
    • Ability to solve hard problems using first principles, mathematics, and physics
    • Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)

Bonus Qualifications

    • Experience in embedded software development
    • Experience with high assurance development practices and tools (Polarion, ISO-26262, MISRA C/C++, etc.)
    • Experience with writing functional requirements driven code and familiar with formal verification & validation techniques
    • Familiarity with Hazard and Risk Assessment (HARA) and/or Failure Mode and Effects Analysis (FMEA)
    • Experience with existing Advanced Driver-Assistance System (ADAS) technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing
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 $173,000 to $246,000. 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.

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.