Senior / Staff Software Engineer - Motion Planning
Hybrid Foster City Boston Full-time Senior Engineering Leadership
At a glance
Senior Engineering Leadership role at Zoox. Foster City · full-time · $254,000–$350,000 base.
SalaryStated by Zoox
$254,000 – $350,000
Base salary for this role, in USD per year, as published in the posting.
This role, from ZooxOur estimate for the market: $182,853–$306,125Median $298,500
The range includes the market median of $298,500 for senior engineering leadership roles in Foster City.
Worked out from 6 postings that stated pay, median $298,500. Last updated Oct 4, 2026.
RoleEngineering Leadership
SenioritySenior
LocationFoster City
WorkplaceHybrid
EmploymentFull-time
Base pay$254,000–$350,000
PostedNov 5, 2025 · 11mo ago
Also hiring inBoston
Role brief
techroles summary, based on the employer's posting.
What you'll do
- Develop and implement principled changes to specific robot driving behaviors in the motion planner
- Run planner changes through backend tools across varied driving scenarios, then review on-vehicle performance
- Lead drive reviews and turn observed performance into concrete feedback for the team
- Track robotics and motion-planning research, and file patents for technologies you develop
What you bring
- A master's degree in computer science or a related discipline, plus at least eight years of experience
- Fluency in C++ and knowledge of configuration spaces and planning methods such as A*, RRTs or PRMs
- A record of building motion-planning algorithms that operate in real time
Who this fits
This senior or staff role suits an experienced engineer focused on motion planning for robot driving. You’ll work with specialists across planning, perception, prediction and operations, and take a measured approach that includes simulation, closed-course tests and on-road reviews with safety drivers. The position is hybrid in Foster City.
From the employer
On the Motion Planning team at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip.
This is a cutting-edge problem, which requires teamwork and collaboration across a broad set of experts spanning Planner, Perception, Prediction, Operations, and more. Together, you will create the next generation of algorithmic improvements to expand our robot’s ability to drive in some of the most complex situations found on public roads.
Safety is foundational at Zoox, so you will take a measured approach – develop a principled modification to the Planner, test in simulation and on closed courses, and team up with our safety drivers for on-road testing.
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AccommodationsIf 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.
In this role, you will:
- Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
- Use our extensive backend tooling to test your changes across many different driving situations at the press of a button.
- Lead on-vehicle drive reviews to generate actionable feedback on driving performance. Use this experience to help the team learn and make improvements.
- Attend conferences and survey literature to stay informed on the most recent developments in the fields of Robotics and Motion Planning.
- Write and file patents for novel technologies you develop.
Qualifications
- Master's degree in Computer Science or a related field and 8+ years of experience
- Fluency in C++
- Understanding of configuration spaces and a variety of planning techniques (A*, RRTs, PRMs, etc.)
- Demonstrated ability to create real-time motion planning algorithms
Bonus Qualifications
- Significant contributions to geometric- and/or sampling-based planning algorithms
- Experience with autonomous robots and machine learning or data-driven development processes
- Experience with ROS, pose estimation, SLAM, probabilistic filtering, 3D data, or CUDA
Follow us on LinkedIn
AccommodationsIf 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.