Engineering Manager, ML Performance Optimization
- Location
- Foster City, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 30 days ago
Skills & highlights for this role
- ML performance optimization
- model inference optimization
- training optimization
- latency optimization
Also useful
- multi-modal foundation models
- RL infrastructure
- AV compute
The Opportunity
We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox.
You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
About Zoox
Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission.
Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques.
From Zoox's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Engineering Manager, ML Performance Optimization job at Zoox located?
This Engineering Manager, ML Performance Optimization position at Zoox is located in Foster City, CA (On-site). Always check Zoox's application page for specific state eligibility or relocation policies.
What qualifications are required for Engineering Manager, ML Performance Optimization at Zoox?
For the Engineering Manager, ML Performance Optimization role, Zoox highlights experience with ML performance optimization, model inference optimization, training optimization, latency optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Engineering Manager, ML Performance Optimization position at Zoox?
This listing links directly to Zoox's Lever application page. You can apply directly on Zoox's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.