Senior Software Engineer, HPC Platform Modernization
Job Summary
Job Description
Zoox is seeking an experienced Software Engineer to modernize their High-Performance Computing (HPC) infrastructure and its supporting ecosystem. This role involves developing key frameworks and services for Autonomous Vehicle development, utilizing technologies like Ray.io and SLURM. The engineer will be responsible for distributed system design, algorithmic job scheduling, and cloud scaling. The position offers a high degree of independence and the opportunity to shape the company's compute scaling strategy, working with autonomy and software teams to enhance developer experiences.
Must have:
- 7+ years of experience
- Experience with Ray.io
- Experience with Kubernetes
- Experience with Ray.io/Kubernetes on AWS/Azure/GCP
- Proficiency in Python
Good to have:
- Exposure to ML workloads
- Experience with Kubernetes/SLURM at scale (>10k nodes)
- Experience with SLURM
Perks:
- Paid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Disability insurance
- Life insurance
7 skills required
Job Details
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
$185,000 - $252,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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 accommodations@zoox.com 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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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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