Rolewise

Senior/Staff Software Engineer, ML Training Optimization

Zoox · Foster City · Office location (mode not stated)

USD 254,000–350,000 / year

Apply on the employer's site ↗
Company
Zoox
Location
Foster City, CA
Work mode
Office location (mode not stated)
Open to applicants from
On-site/hybrid: local candidates
Level
Lead / manager & above
Employment
Full-time
Field
Software Engineering / Software engineer (general)
Stated pay
USD 254,000–350,000 / year
Posted
2026-10-16 (30 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Lever

Machine learning

About the role

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 OpportunityAre 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…

Excerpt only. Read the full description and apply at the original posting on Lever. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

Similar roles