Skip to main content

Zoox

Software Engineer, ML Performance Optimization

Foster City, CA$192k–$257kfull-timemidAdded 2 days ago

About this role

Zoox is seeking a Software Engineer specializing in ML Performance Optimization to enhance the efficiency of machine learning models for autonomous driving. The role involves collaborating with various teams to implement cutting-edge techniques and tools that support the development and deployment of their robotaxis.

What you'll do

  • Drive ML Performance Optimization initiatives
  • Work with state-of-the-art accelerators
  • Utilize techniques like quantization, distillation, and pruning
  • Collaborate with Autonomy teams including Perception and Collision Avoidance
  • Support internal customers with ML tools and systems
  • Explore new ML domains as robotaxi technology advances

What they're looking for

  • Machine Learning optimization
  • Distributed training techniques
  • Quantization and distillation
  • Software engineering
  • Collaboration tools
  • Autonomous driving technologies
  • Performance metrics analysis
  • Problem-solving skills

Benefits

  • Significant impact on autonomous driving innovation
  • Growth opportunities within the team
  • Exposure to cutting-edge ML technologies
  • Collaboration with strong engineering team
  • Involvement in public robotaxi deployments
  • [unknown]
Apply on the employer's site

Opens the official application on the employer’s site. No login required.