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Staff Software Engineer, HPC

Zoox

Job Location:

Boston, MA - USA

Yearly Salary: $ 230000 - 309000

Posted: 21 August 2026 (Yesterday)

Application Deadline: 18 November 2026

Vacancies: 1 Vacancy

Job Summary

Zoox is looking for an experienced Staff Software Engineer to build scale and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development our HPC platform must keep pace with rapidly growing compute storage and scheduling demands across the company. You will modernize our HPC platformbuilt on industry-leading technologies like SLURM and Kuberneteswith a focus on reliability scalability and world-class developer velocity.

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 have a direct impact on the productivity and effectiveness of every engineering team at Zoox.

The position comes with a high degree of independence and the opportunity to define Zooxs HPC platform strategy both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust scalable infrastructure.

In this role you will:

Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs
Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform
Lead multi-quarter cross team initiatives that drive org-wide improvements
Create production-grade APIs SDKs and tools that make it easy for engineers across Zoox to run large-scale distributed workloads
Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability
Design multi-region orchestration strategies that optimize for data locality reliability and performance
Identify and resolve systemic reliability and performance issues through profiling analysis and collaboration with workload owners across multiple teams
Evaluate new technologies and paradigms that improve Zooxs computational and storage capabilities
Develop capacity planning tools and forecasting models to support Zooxs growing compute needs
Mentor junior engineers guiding them through their career development

Qualifications

Experience designing and operating large-scale distributed systems in production
Experience with particularly Ray Core and Ray Data (or equivalent technologies)
Experience with Kubernetes particularly for heterogeneous workloads
Experience with cloud infrastructure on AWS or similar providers
Track record of shipping and operating reliable highly availablescalable infrastructure
Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs
Proficiency with Python

Bonus Qualifications

Exposure to machine learning workloads (training inference data generation)
Experience with Kubernetes or SLURM at scale (>10k nodes)
Experience with SLURM workload manager and advanced scheduling policies
Background in algorithmic optimization or operations research
Experience building developer tools and platforms used by large engineering organizations

$230000 - $309000 a year

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 candidates 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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Staff IC

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About Company

Zoox

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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