Zoox

Senior ML Storage Infrastructure Engineer

Reposted 22 Days Ago

2 Locations

Hybrid

192K-300K 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

Responsible for improving Zoox's HPC infrastructure, optimizing cloud/storage systems for ML workloads, designing APIs, and investigating distributed paradigms.

Summary Generated by Built In

Zoox is looking for a software engineer to work on our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. This infrastructure is central to machine learning workflows across all Zoox software divisions, from data engineering to computer vision perception to simulation and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox’s computational needs.

In this role, you will:

Design and implement improvements to Zoox’s in-house, cutting-edge HPC infrastructure
Design systems that optimize various storage technologies in the cloud and our own datacenter(s) for performance, reliability, and efficiency that power our diverse machine learning workloads
Investigate new distributed system paradigms and technologies to meet Zoox’s ever growing computational and storage needs
Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teams

Qualifications:

Experience with high-performance object storage and filesystems
Experience with distributed systems
Proficiency with Python, Java, or other managed languages
Bachelor's degree in computer science (or related field)
Experience with cloud computing platforms such as AWS, GCP, or Azure

Bonus Qualification:

Deep experience with AWS FSx for Lustre, open-source Lustre filesystem, or another ML-optimized filesystem
Experience with workload management / job scheduling systems such as SLURM
Knowledge of machine learning / artificial intelligence systems

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 [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

Azure

GCP

Java

Python

Slurm

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The Company

HQ: Foster City, CA

2,500 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.