Zoox

60 Zoox Jobs Hiring Near You

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 ...

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 ...

Zoox is building autonomous vehicles from the ground up -- and hiring the world-class talent to do it demands a recruiting coordination function that operates with precision at scale. We're looking ...

At Zoox, we're not just building self-driving cars; we're creating an autonomous ride-hailing service that will revolutionize how people move. We are looking for a Software Engineer to join our ...

Staff Software Engineer, HPC

Boston, MA · On-site

$230K - $295K/yr

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 ...

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 ...

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 ...

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Zoox Jobs Information

What is it like to work at Zoox?

Zoox is a technology company that prioritizes innovation and collaboration, fostering a culture that encourages experimentation and creativity. As a leader in autonomous mobility, Zoox's team structure is designed to facilitate cross-functional collaboration, with engineers, designers, and researchers working together to develop cutting-edge autonomous vehicles and mobility solutions. Working at Zoox may appeal to candidates who are passionate about shaping the future of transportation and are eager to contribute to a mission-driven organization that is pushing the boundaries of autonomous technology.

What makes Zoox an attractive place to work?

Zoox is a leading autonomous vehicle technology company that aims to revolutionize the transportation industry with its cutting-edge innovations. The company's workplace is characterized by a culture of collaboration, innovation, and experimentation, where employees are encouraged to think creatively and push the boundaries of what is possible. By joining Zoox, individuals can contribute to shaping the future of transportation, develop their skills in a rapidly evolving field, and be part of a dynamic team that is driving meaningful change.
Infographic showing various job openings at Zoox in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Staff Software Engineer, HPC

Zoox

Boston, MA

$230K - $295K/yr

Full-time

Posted 5 days ago


Job description

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.
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

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

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

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.
 
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.

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.