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Zoox Jobs (NOW HIRING)

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 ...

New

Staff Software Engineer, HPC

Seattle, WA

$230K - $295K/yr

  • Medical

  • Life

  • PTO

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 ...

Staff Software Engineer, HPC

Boston, MA · On-site

$230K - $295K/yr

  • Medical

  • Life

  • PTO

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 ...

Embedded Software Engineer - Body Systems

Foster City, CA · On-site

$140K - $170K/yr

  • Medical

  • Life

  • PTO

Zoox is looking for an embedded software engineer to join our Firmware Body Systems team. In this role, you will be responsible for embedded software development for the body, thermal, lighting, and ...

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 ...

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 ...

Staff Software Engineer, HPC

Foster City, CA · On-site

$230K - $295K/yr

  • Medical

  • Life

  • PTO

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 a strategic leader to guide the Commercial Applications group within our Enterprise Applications Engineering organization. This role owns the enterprise platforms that power ...

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Showing results 1-20

Zoox information

What are the typical day-to-day responsibilities for someone working at Zoox in an engineering role?

As an engineer at Zoox, your daily responsibilities may include designing and testing autonomous vehicle systems, developing and optimizing software, and conducting simulations to ensure safety and efficiency. You’ll often collaborate closely with teammates in mechanical, electrical, and software engineering, as well as with project managers and QA specialists, to solve technical challenges and advance project milestones. Regular cross-team meetings and code reviews are a normal part of the workflow. Zoox fosters an innovative, fast-paced environment where ongoing learning and teamwork are essential for success in delivering next-generation urban mobility solutions.

Is working for Zoox a good job?

Working as a Zoox employee involves contributing to autonomous vehicle development in a high-tech environment, often requiring skills in engineering, software development, or data analysis. The company offers competitive salaries, benefits, and a focus on innovation, but job satisfaction depends on individual roles and expectations. Overall, it is considered a reputable employer within the autonomous vehicle industry.

What is a Zoox job?

A Zoox job refers to a role at Zoox, an autonomous vehicle company focused on developing purpose-built, fully autonomous robotaxis. Zoox hires professionals across engineering, software development, operations, and safety to create and deploy its self-driving technology. Jobs at Zoox typically involve working on cutting-edge AI, robotics, and mobility solutions aimed at revolutionizing urban transportation.

What are the key skills and qualifications needed to thrive in the Zoox position, and why are they important?

To thrive at Zoox, candidates typically need a background in robotics, computer science, engineering, or related fields, with hands-on experience in autonomous systems or automotive technology. Familiarity with software development languages like C++ or Python, simulation tools, and robotics middleware such as ROS is often expected, along with relevant certifications or project work. Strong problem-solving skills, adaptability, and the ability to work collaboratively within cross-functional teams are highly valued. These capabilities are crucial in advancing cutting-edge autonomous mobility solutions and ensuring seamless team integration at Zoox.

Does Zoox offer remote jobs?

Zoox offers some remote job opportunities, primarily in roles related to software engineering, data analysis, and other technical fields. However, many positions may require on-site presence or hybrid work arrangements depending on the role and team needs.
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What are the most commonly searched types of Zoox jobs?

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What states have the most Zoox jobs?

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Infographic showing various Zoox job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Staff Software Engineer, HPC

Zoox

Boston, MA • On-site

$230K - $295K/yr

Full-time

Posted 3 days ago

New


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.