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Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Zoox is looking for an experienced Software Engineer to work on key new frameworks and infrastructure modernization for our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. Zoox HPC services combine industry-best scheduling and workload orchestration technologies, such as Ray.io and SLURM, with value-add workflows specifically for Autonomous Vehicle development. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, 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.
The position comes with a high degree of independence and the opportunity to help define Zoox’s compute scaling strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to iterate on world-class developer experiences, incorporating the latest industry tools and best practices.
In this role, you will:
- Evaluate new distributed system paradigms and technologies to meet Zoox’s ever-growing computational and storage needs
- Strike a balance between incremental improvements to Zoox’s existing in-house HPC infrastructure and greenfield services and abstractions.
- 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
- 7+ years of experience
- Experience with Ray.io, particularly Ray Core and Ray Data
- Experience with Kubernetes, particularly for heterogeneous workloads and clusters
- Experience with Ray.io and Kubernetes deployed on Amazon Web Services (AWS) or other similar cloud providers such as Azure or GCP
- Proficiency with Python
Bonus Qualifications
- Exposure to machine learning workloads (training, inference, data generation, etc) from a compute infra service provider perspective
- Experience with Kubernetes or SLURM at scale (>10k+ nodes)
- Experience with SLURM workload manager
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.
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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.
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The Company
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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