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[JOBS/SIMULATION/STAFF SOFTWARE ENGINEER, HPC]
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POSTING ACTIVE · REQ-C0A76 · FY26.Q3

Staff Software Engineer, HPC

Zoox logo
Zoox
[ COMPANY ]
Zoox
[ LOCATION ]
Foster City, CA
[ POSTED ]
2026.08.10
[ REQ ID ]
REQ-C0A76
[ COMPENSATION RANGE · ANNUAL · BASE ]
$230,000 – $309,000USD
MIDPOINT
$269,500
SPREAD
$79,000
LEVEL
LEAD

TECHNICAL STACK · 3 TAGS

[PYTHON][KUBERNETES][AWS]
§ 01

OVERVIEW

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 platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with 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 Zoox's 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.
§ 02

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 Zoox's computational and storage capabilities

  • Develop capacity planning tools and forecasting models to support Zoox's growing compute needs

  • Mentor junior engineers, guiding them through their career development

§ 03

QUALIFICATIONS

  • Experience designing and operating large-scale distributed systems in production

  • Experience with Ray.io, 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 available scalable infrastructure

  • Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs

  • Proficiency with Python

§ 04

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

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.
Follow us on LinkedIn
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.
§ 05

REQUIREMENTS

Description

  • Experience designing and operating large-scale distributed systems in production
  • Experience with Ray.io, 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 available scalable 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 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. Follow us on LinkedIn 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.

QUESTIONS AND ANSWERS

How much does the Staff Software Engineer, HPC at Zoox pay?
The posting lists a range of $230K–$309K per year. Ranges reflect what Zoox publicly declared on the source posting.
Where is this Staff Software Engineer, HPC role based?
The role is based in Foster City, CA.
What experience does Zoox expect for this role?
The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
Where is Zoox headquartered?
Zoox is headquartered in Foster City, USA.
How was this posting sourced?
This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
[ APPLICATION ROUTE ]LEVER · External ATS
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