Software Engineer, ML Performance Optimization
Zoox · Software Systems
- Location
- Foster City, CA
- Metro
- San Francisco Bay Area
- Workplace
- On-site
- Level
- Unspecified
- Type
- Full-time
- Pay
- $177K–$270K/yr (published by employer)
- Posted
- 5 months ago
- Source
- Lever
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What the posting covers
About the company
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join…
The Opportunity
Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training,…
In this role, you will
Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi. Collaborate closely with cross-functional teams, including ML…
Qualifications
Note: You do not have to meet all the requirements below to be considered for this position: 4+ years of total experience, including 2+ years of working on large-scale model training or inference platforms. Experience with training frameworks like PyTorch,…
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of…
Excerpts only. The employer’s page has the complete posting.