Software Engineer — Machine Learning Performance Optimization

Job overview

The Software Engineer — Machine Learning Performance Optimization role is onsite in Foster City, CA, with a base salary range of $177,000–$270,000 per year. Zoox’s mission is to develop autonomous robotaxis and reimagine transportation; the role supports its ML Platform team. The engineer improves the performance and efficiency of machine-learning training or inference systems used in autonomous driving. The work enables research and autonomy teams to develop and deploy models effectively in Zoox robotaxis.

What you'll do

• Design, implement, and operate machine-learning training or inference performance optimization techniques
• scale foundation, vision-language, and vision-language-action models
• collaborate with machine-learning researchers, software engineers, data engineers, and hardware engineers on requirements and architecture.

What we're looking for

Skills & competencies

full-time

software engineer

machine learning

performance optimization

autonomous driving

foster city ca

zoox

pytorch

gpu

$177k–$270k

Work arrangement

• Weekend coverage required

Benefits & perks

• Paid time off
• health, long-term care, disability, and life insurance
• Zoox Stock Appreciation Rights
• Amazon RSUs.

Why this role

The posting describes work with accelerators, distributed training, quantization, distillation, and pruning, and lists stock awards and comprehensive benefits.

About the employer

Zoox is hiring for this role. Industry: Unclassified (placeholder). Sector: 99.