Senior/Staff Software Engineer, ML Performance Optimization

Zoox · Software Systems

Location: Foster City, CA · Seattle, WA · Remote (United States)
Metro: San Francisco Bay Area, Seattle
Workplace: On-site
Level: Staff+
Type: Full-time
Pay: $254K–$350K/yr (published by employer)
Posted: 36 months ago
Source: Lever

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

Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience. Lead the design, implementation, and operation of cutting-edge ML Training OR Inference performance…

Qualifications

Note: You do not have to meet all the requirements below to be considered for this position: Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training. Experience with GPU-accelerated inference using…

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.