Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing. Backed by Lux.
About the role
Vision: Develop and execute a strategic vision and roadmap for ML Training and Inference Performance Optimization, ensuring scalability, reliability, and performance to support autonomous driving. Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, optimization and monitoring of ML models. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of relevant experience, including 3+ years of management experience managing engineers
- Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases
- Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training
- Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks
More about this role
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 -...
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