Senior Software Engineer, ML Platform

Reposted 21 Days Ago
Foster City, CA
Hybrid
189K-290K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Develop and maintain the ML training framework, build inference services, lead design and implementation of ML platform, and mentor junior engineers.
Summary Generated by Built In
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 CV to make autonomous driving as seamless as possible. 

The Opportunity
Would you like to be part of the ML Training and Inference Infrastructure team that enables autonomous driving and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.

We build and operate the base layer of ML tools, deep learning frameworks, and inference libraries used by our applied research teams for in- and off-vehicle ML use cases. 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. If you want to learn more about our stack behind autonomous driving, please look here.

In this role, you will:

  • 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.

Qualifications

  • 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.

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.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.

Top Skills

AWS
Ml Infrastructure
PyTorch
Ray
Tensorrt
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The Company
HQ: Foster City, CA
2,900 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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