Staff Software Engineer, ML Performance Optimization
Company: Zoox
Location: Seattle
Posted on: April 1, 2026
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Job Description:
Zoox is on a mission to reimagine transportation and ground-up
build autonomous robotaxis that are safe, reliable, clean, and
enjoyable for everyone. We are still in the early stages of
deploying our robotaxis on public roads, and it is a great time to
join Zoox and have a significant impact in executing this mission.
The ML Platform team at Zoox plays a crucial role in enabling
innovations in ML and CV to make autonomous driving as seamless as
possible. The Opportunity Are you excited to lead our ML
Performance Optimization initiatives and make our Training and
Inference platform that enables autonomous driving as fast and
efficient as possible? You will get to work across all ML teams
within Zoox - Perception, Prediction, Planner, Simulation,
Collision Avoidance, and Advanced Hardware Engineering group and
have the opportunity to significantly push the boundaries of how ML
is practiced within Zoox. We build and operate the base layer of ML
tools, deep learning frameworks, and inference systems used by our
applied research teams for in- and off-vehicle ML use cases. You
will lead a team of strong software engineers and act as a force
multiplier for our internal customers. This team has a lot of
growth opportunities as we expand our robotaxi deployments and
venture into new ML domains. If you want to learn more about our
stack behind autonomous driving, please look here . In this role,
you will: Develop and execute a strategic vision for the ML
Performance Optimization team to unlock ML innovation in autonomous
driving and rider experience. Lead the design, implementation, and
operation of cutting-edge ML Training and inference performance
optimization techniques. Collaborate closely with x-functional
teams, including ML researchers, software engineers, data
engineers, and hardware engineers, to define requirements and align
on architectural decisions. Enable the engineers in the team to
grow their careers by providing technical guidance and mentorship.
Qualifications Strong experience with training frameworks like
PyTorch, leveraging GPUs efficiently for distributed model
training. Experience with GPU-accelerated inference using TensorRT,
Ray Serve, or similar frameworks. Experience using profiling tools
like NVIDIA's Nsight or PyTorch's Profiler for identifying model
training and serving bottlenecks. Proficient in Python and C++
Experience with model compression techniques to reduce model size
and improve performance. Bonus Qualifications 10 years of total
experience, including 4 years of working on large-scale model
training or inference platforms. Excellent leadership skills with a
demonstrated ability to lead high-performing engineering teams.
$242,000 - $389,000 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. Follow
us on LinkedIn 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:
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.
Keywords: Zoox, Everett , Staff Software Engineer, ML Performance Optimization, Engineering , Seattle, Washington
