Join to apply for the Senior/Staff Software Platform Engineer role at Zoox Join to apply for the Senior/Staff Software Platform Engineer role at Zoox Get AI-powered advice on this job and more exclusive features. Zoox is looking for a platform/site reliability engineer who will be responsible for measuring and maintaining the uptime of the many services critical to the development process for autonomous vehicles. In this role, you will be heavily involved in all phases of rolling out a service from designing systems that are easy to maintain and fault-tolerant through deployment, operation, and continual improvement. Zoox is a robotics company and our ethos of automation extends throughout the infrastructure components we build. Be prepared to work with systems handling large volumes of data and data-processing pipelines performing compute-intensive tasks on CPUs and GPUs.

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.

In This Role, You Will

Design and implement highly scalable and reliable systems to support Zoox's autonomous vehicle platform. Lead efforts to 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 deployment processes and automation. Conduct root cause analysis of production issues and implement corrective actions. Design and implement disaster recovery and business continuity plans. Mentor and guide junior engineers, promoting best practices in site reliability engineering.

Qualifications

8+ years of experience in site reliability engineering or a similar role, with a strong background in designing and maintaining 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 Ansible, Salt, Terraform or CloudFormation.

Preferred Qualifications

Experience in the automotive or autonomous vehicle industry. Knowledge of security best practices and compliance requirements. Previous experience in a leadership or mentorship role.

$210,000 - $289,000 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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesAutomotive Referrals increase your chances of interviewing at Zoox by 2x Get notified about new Platform Engineer jobs in Foster City, CA . Software Engineer, AI Platform - New Grad Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Mountain View, CA $167,200.00-$250,800.00 2 weeks ago Mountain View, CA $167,200.00-$250,800.00 1 week ago Sr. Software Engineer, Platform Orchestration - Slack San Francisco, CA $184,000.00-$276,100.00 3 days ago San Francisco, CA $150,000.00-$300,000.00 10 months ago San Francisco, CA $150,000.00-$300,000.00 10 months ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago San Francisco, CA $150,000.00-$300,000.00 10 months ago San Mateo, CA $195,000.00-$255,000.00 7 months ago Mountain View, CA $150,000.00-$220,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago San Francisco, CA $180,000.00-$240,000.00 8 months ago Foster City, CA $210,000.00-$289,000.00 1 week ago San Francisco, CA $94,400.00-$118,000.00 1 day ago San Francisco, CA $149,998.00-$250,000.00 9 months ago Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Sunnyvale, CA $141,000.00-$202,000.00 2 days ago Mountain View, CA $148,000.00-$210,000.00 4 days ago Software Engineer, ML Data Infrastructure Mountain View, CA $170,000.00-$216,000.00 2 weeks ago San Francisco, CA $160,000.00-$240,000.00 5 days ago San Francisco, CA $110,000.00-$170,000.00 1 month ago San Francisco, CA $140,000.00-$170,000.00 7 hours ago Software Engineer (Data Platform) hybrid We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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