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 development 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.
Design and implement improvements to Zoox’s in-house, cutting-edge HPC infrastructure
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
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
Experience with workload management / job scheduling systems such as SLURM
Experience building, deploying, and scaling microservices
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.
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.