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Software Engineer, ML Platform (ML Serving)

Build and operate a scalable, low-latency ML serving platform for LLMs and VLMs.
Foster City, California, United States
Mid-Level
$189,000 – 258,000 USD / year
3 weeks ago
Zoox

Zoox

Develops fully autonomous, purpose-built electric vehicles and software for safe, on-demand urban mobility and robotaxi services.

Zoox Ml Platform Team

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and AI to make autonomous driving as seamless as possible.

The Opportunity

Would you like to enable ML use cases for enabling autonomous driving, scene understanding, and automated mapping at Zoox? This role works across all ML teams within Zoox - Perception, Behavior ML, Simulation, Data Science, Collision Avoidance, as well as with our Advanced Hardware Engineering group specifying our next generation of autonomous hardware. You will significantly push the boundaries of how ML is practiced within Zoox.

In this role, you will:

  1. Build the off-vehicle inference service powering our Foundational models (LLMs & VLMs) and the models that improve our rider experiences.
  2. Lead the design, implementation, and operation of a robust and efficient ML serving infrastructure to enable the serving and monitoring of ML models.
  3. Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
  4. Enable the junior engineers in the team to grow their careers by providing technical guidance and mentorship

Qualifications

  • 4+ years of ML model serving infrastructure experience
  • Experience building large-scale model serving using GPU and/or high QPS, low latency serving use cases.
  • Experience with GPU-accelerated inference using RayServe, vLLM, TensorRT, Nvidia Triton, or PyTorch.
  • Experience working with cloud providers like AWS and working with K8s

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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Software Engineer, ML Platform (ML Serving)
Foster City, California, United States
$189,000 – 258,000 USD / year
Software
About Zoox
Develops fully autonomous, purpose-built electric vehicles and software for safe, on-demand urban mobility and robotaxi services.