Zoox
Software Engineer, ML Performance Optimization
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]
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Zoox
Zoox develops autonomous vehicle technology and robotaxi systems, supported by manufacturing operations and AI validation infrastructure. The company is hiring for part-time student roles in hardware-software integration, manufacturing software engineering, AI testing and evaluation, and QA automation, as well as experienced engineers for simulation and AI performance assessment.
- Website
- zoox.com