Job Description

Zoox is seeking a Site Reliability Engineer to help ensure the availability, performance, and resilience of the services that power the development and operation of our autonomous vehicles. In this role, you will own the full lifecycle of our services—from designing fault-tolerant, maintainable systems to deploying, operating, and continuously improving them in production. As a robotics company, Zoox embraces automation at every layer of our infrastructure, and you’ll help drive that ethos forward. You’ll work hands-on with systems that process massive volumes of data and support compute-intensive pipelines running on both CPUs and GPUs.

In this role, you will:

• Design and implement highly scalable and reliable systems to support Zoox's autonomous vehicle platform.
• Optimize system performance, reliability, and scalability.
• Develop and maintain monitoring, alerting, and reporting systems to ensure proactive identification and resolution of issues.
• Collaborate with software engineering teams to improve software architecture, deployment processes, and automation.
• Conduct root cause analysis of production issues and implement corrective actions.
• Implement disaster recovery and business continuity plans.

Qualifications

• 5+ years of experience in site reliability engineering or a similar role, with a strong background in working with large-scale distributed systems.
• Proven experience with cloud platforms such as AWS, GCP, or Azure.
• Expertise in container orchestration technologies like Kubernetes.
• Deep understanding of networking, storage, and database technologies.
• Strong programming skills in languages such as Python, Go, C/C++, or Java.
• Experience with infrastructure as code tools such as Terraform, Ansible, Salt, or CloudFormation.

Bonus Qualifications

• Experience in the automotive or autonomous vehicle industry.
• Knowledge of security best practices and compliance requirements.

$170,000 - $205,000 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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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