# Engineering Manager, ML Performance Optimization at Zoox

- Company: Zoox
- What the company does: Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing. Backed by Lux.
- Company website: https://zoox.com
- Type: Startups (AI role)
- Level: Senior
- Location: Foster City, CA
- Work setup: Hybrid
- Pay: $276K to $343K base salary per year (USD)
- Posted: 2026-10-06
- Apply by: 2026-11-20
- Apply: https://jobs.lever.co/zoox/222978c8-80d6-4a55-aa40-3bb6eb15671c?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/zoox-engineering-manager-ml-performance-optimization/

## About the role

Vision: Develop and execute a strategic vision and roadmap for ML Training and Inference Performance Optimization, ensuring scalability, reliability, and performance to support autonomous driving. Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, optimization and monitoring of ML models. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 8+ years of relevant experience, including 3+ years of management experience managing engineers
- Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases
- Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training
- Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks

Tags: Software Systems

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/zoox-engineering-manager-ml-performance-optimization/