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Senior/Staff Software Engineer, ML Training Optimization
Zoox · Foster City, CA · Posted 20 days ago
"Own ML training optimization for the models behind Zoox's autonomous robotaxis, setting technical direction for distributed training, RL performance, and custom GPU kernels across Autonomy teams."
Zoox is on a mission to reimagine transportation and build ground-up autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We’re still early in deploying on public roads, so this is a great time to join and have a significant impact. The ML Platform team enables innovation in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible.
The Opportunity Are you excited to own ML training optimization at Zoox and make the models that power autonomous driving train faster, cheaper, and at greater scale? You’ll set technical direction for distributed training, parallelism strategies, mixed-precision training, and RL on SOTA accelerators, especially for multi-modal VLA and VLM models. You’ll partner with all Autonomy teams (Perception, Prediction, Planner, Simulation, Collision Avoidance) and act as a force multiplier for our internal customers, while mentoring engineers and shaping the team’s roadmap as we expand into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here . If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
In this role, you will:
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This posting is sourced from Zoox's own career site — applying takes you there directly.
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