Senior Software Engineer, ML Core

Senior Software Engineer, ML Core Build and optimize the ML tooling platform to accelerate model development, training, and in-vehicle inference

Location:

Foster City, California, United States

Compensation: $214, USD / year

Job Tags:
Software

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.

Would you like to enable ML use cases like 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.

We build and operate the base layer of ML tools, deep learning frameworks, inference libraries, and ML infrastructure used by our applied research teams for in‑ and off‑vehicle ML use cases. We coordinate across all of Zoox to make sure that the needs of both the vehicle and ML teams are met. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting‑edge AI innovation.

This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.

• Design, develop, and deploy custom and off‑the‑shelf ML libraries and tools to improve ML development, training, deployment, and on‑vehicle model inference latency.
• Build tooling and establish development best practices to manage and upgrade foundational libraries, i.e., Nvidia driver, PyTorch, Tensor
  
  RT, etc., improve ML developer experience, and expedite debugging efforts.
• Collaborate closely with cross‑functional teams, including applied ML research, high‑performance compute, advanced hardware engineering, and data science, to define requirements and align on architectural decisions.

• 6+ years of experience.
• Proficient in Python or C++.
• Familiarity with training frameworks and libraries such as PyTorch, Lightning, Hugging Face, Ray, JAX.
• Familiarity with GPU‑accelerated inference on Nvidia hardware such as CUDA, Tensor
  
  RT, and/or XLA.

• Familiarity with Bazel and/or the C++ linker.

Compensation includes salary, Amazon Restricted Stock Units (RSUs), Zoox Stock Appreciation Rights, and a sign‑on bonus may be offered. The salary range represents the base salary only and may vary based on geographic location and level. Benefits include paid time off, unpaid time off, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance.

Zoox is developing the first ground‑up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. We value diverse perspectives and are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.