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Selected role

Senior/Staff Software Engineer - Simulation Motion Planning

Zoox Foster City, CA

$215k - $305k Senior Full-time

Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.

For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating human behaviors, specifically traffic and other pedestrian behaviors. The challenge is that the simulated humans need to show realistic and representative behavior — we want our agents to jaywalk as a human might do, and also replicate a wide range of behaviors that we encounter while driving in real cities.

In this role, you will:

Populate the simulated roads with intelligent participants.
Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors.
Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible.
Work closely with various teams — including AI software teams, QA, and Validation Engineers — to push autonomous driving forward.

Qualifications:

Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Robotics Engineering, Computer Science, or a related field
PhD or 8+ years of experience in a related field
Fluency in C++
Mathematics skills, including trigonometry, linear algebra, and calculus
Experience with motion planning, control systems, constrained optimization, and state estimation

Bonus Qualifications:

Experience in game development, traffic simulation or pathfinding
Experience in automotive, robotics, data science, or machine learning
Familiarity with Python

$215,000 - $305,000 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.

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