# Software Engineer, ML Training Performance 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: Mid level
- Location: Foster City, CA
- Work setup: On-site
- Pay: $177K to $270K base salary per year (USD)
- Posted: 2026-10-16
- Apply by: 2026-11-30
- Apply: https://jobs.lever.co/zoox/91ff6263-49fb-421e-860f-36e7b9bae784?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/zoox-software-engineer-ml-training-performance/

## About the role

Design, implement, and operate cutting-edge ML training performance optimization techniques — distributed training (data/tensor/pipeline parallelism), mixed-precision, gradient checkpointing, and GPU kernels — to scale our VLM, VLA, and Foundational models training efficiency. Work on RL framework and RL performance optimization for driving foundation model Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 4+ years of total experience, including 2+ years working on large-scale model training platforms
- Experience with distributed training frameworks (Megatron-LM, TorchTitan), efficiently utilizing GPU/accelerator clusters at scale
- Experience with RL framework such as Verl/MILES and RL algorithms(GRPO, PPO)
- Experience with collective communication libraries (e.g., NCCL) and optimizing communication/compute overlap in multi-node training
- Experience using profiling tools (NVIDIA Nsight, PyTorch Profiler, or XLA/JAX profiling) to identify and resolve training bottlenecks

Tags: Software Systems

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/zoox-software-engineer-ml-training-performance/