Zoox
Engineering Manager, Robot Data Visualization
Foster City, CA · On-site · Manager
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
Engineering Manager, ML Performance Optimization at Zoox in Foster City, CA. Lead a team of ML performance engineers driving latency-optimized training and inference across Zoox’s multi-modal models and ML infrastructure. Coordinate across ML research disciplines to scale and accelerate model deployment for vehicle and cloud workloads. Spec-sheet tone, two sentences.
Required
- lead ML performance engineering
- manage ML performance optimization
- scale ML models and infrastructure
- latency targets for multi-modal models
- collaborate across ML teams (Perception, Prediction, Planner, Simulation)
- experience with ML infra or accelerator techniques
- team leadership / people management
Preferred
- experience with Foundation models
- RL infrastructure
- hardware acceleration optimization
- Zoox-specific vehicle compute constraints
- cloud and on-device ML deployment
Employer description
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.
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.
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