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Zoox

Staff/Senior Staff Software Platform Engineer

Foster City, CA Remote Hybrid
USD 234k - 342k
Azure Kubernetes C++ Java Terraform AWS GCP Python Go Ansible Machine Learning
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Description
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.

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.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $234,000 to $342,000. A sign-on bonus may be offered as part of the compensation package. 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 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.
Zoox
Zoox
Autonomous Vehicles Machine Learning Robotics Transportation

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