Senior Software Engineer - Motion Planning Collision Avoidance

Zoox is looking for a software engineer to join our Collision Avoidance System Motion planning team. In this role, you will be responsible for bringing cutting edge collision avoidance decision making and prediction systems into production. This is a multidisciplinary role that will include responsibilities in and exposure to safety-critical system engineering, perception, prediction, and motion planning all with a focus on robustness and low latency. You will be at the forefront of defining safety for cutting-edge AI software in real world environments.

In this role, you will:

• Build collision avoidance software for motion planning, decision making, and prediction
• Lead the technical direction of software projects, define architecture, and develop new algorithms.
• Design, develop, and review complex software components, ensure code quality and maintainability.
• Help define and develop robust probabilistic decision making algorithms
• Identify and resolve complex technical challenges, analyze data to identify potential issues.

Qualifications

• PhD + 3 years of related experience or Masters + 7 years
• Strong background in computer science, especially coding in c++
• Have experience of real-time system, especially latency handling
• Must be a team player with good communication skills and be able to guide the team member through software architecture design, experience with mentoring team members
• Past experience of Autonomous driving or robotics industry

Bonus Qualifications

• Experience with writing functional requirements driven code and familiar with formal verification & validation techniques
• Hands-on experience with Bayesian Estimation Techniques such as Kalman Filters
• Experience with existing Advanced Driver-Assistance System (ADAS) technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing

$204,000 - $276,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.