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Engineering Manager, ML Performance Optimization at Zoox - ApplyBlast

Engineering Manager, ML Performance Optimization

Zoox

15 days ago

3.5 on Glassdoor

Foster City, California, United States

Hybrid

Full Time

Manager

0 applicants

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About this role

Zoox is seeking an Engineering Manager to lead a team of ML performance engineers, driving innovations in model deployment and optimization for autonomous robotaxis. The role involves collaborating across ML research teams to scale multi-modal Foundation models and RL infrastructure while ensuring efficient vehicle performance. This position offers significant impact on executing Zoox's mission to reimagine transportation through cutting-edge ML scaling and acceleration.

Responsibilities

Lead and mentor a team of ML performance engineers
Scale multi-modal Foundation models and RL infrastructure
Optimize model training and inference for vehicle latency targets

Skills

About Zoox

zoox.com

Headquarters

Foster City, California, United States

Company Size

1001-5000 employees

Founded

2014

View Profile

Zoox designs and builds purpose‑built, bidirectional electric robotaxis and the full autonomy stack — hardware, sensors, and software — to enable on‑demand, driverless ride‑hailing. The company takes a safety‑first, rider‑focused approach, engineering vehicles from the ground up for urban, zero‑emission mobility rather than adapting passenger cars. Acquired by Amazon in 2020, Zoox is working to commercialize a complete autonomous mobility service that rethinks ride‑hailing for riders instead of drivers.