Senior/Staff Software Engineer, ML Training Performance

The Resume Database; Foster City (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Zoox is seeking a Senior/Staff Software Engineer to own ML training performance for autonomous driving models. You will define distributed training strategies, mix-precision, and RL on SOTA accelerators, collaborating with Perception, Prediction, Planner, and Simulation teams. Mentorship and roadmap influence are key as ML domains expand.

The role focuses on accelerating training speed, reducing cost, and enabling scale for large Foundation models, VLMs, and VLAs across multi-modal architectures.

Job description

Senior/Staff Software Engineer, ML Training Performance

October 16, 2026

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 performance 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.