Staff Software Engineer (Machine Learning)

TL;DR

Staff Software Engineer (Machine Learning): Leading ML Performance Optimization initiatives to enhance the Training and Inference platform for autonomous driving with an accent on optimizing performance and efficiency. Focus on collaborating with cross-functional teams to drive ML innovation and mentor engineers.

Location: Remote (United States)

Salary: $242,000 - $389,000

Company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Develop and execute a strategic vision for the ML Performance Optimization team.
• Lead the design, implementation, and operation of ML Training and inference performance optimization techniques.
• Collaborate with ML researchers, software engineers, data engineers, and hardware engineers.
• Enable team growth through technical guidance and mentorship.

Requirements

• Strong experience with training frameworks like PyTorch and efficient GPU usage.
• Experience with GPU-accelerated inference using TensorRT or similar frameworks.
• Proficient in Python and C++.
• Experience with model compression techniques.

Nice to have

• 10+ years of total experience, including 4+ years on large-scale model training or inference platforms.
• Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.