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# Senior Software Engineer, ML Platform

- **Company:** Zoox
- **Location:** Foster City, CA, United States
- **Experience:** Expert
- **Salary:** $196,000 - $319,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Machine Learning, Azure Machine Learning, Pytorch, Low Latency, Ray Serve, Machine Learning Operations, TensorRT
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_d98ec9217ffdd3dbc8e66a125debd71e

## About the Role

* 4+ years of ML infrastructure experience.
 * Experience building large-scale distributed multi-node GPU model training and/or high throughput, low latency serving use cases.
 * Experience with training frameworks like PyTorch and OSS frameworks like Ray.
 * Experience with GPU-accelerated inference using TensorRT, Ray Serve, or a similar framework.
 * Experience working with cloud providers like AWS.

## Description

* Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
 * Build the Off-vehicle inference service powering our Foundational models and the models that improve our rider experiences.
 * Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
 * Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
 * Enable the junior engineers in the team to grow their careers by providing technical guidance and mentorship.