Test Infrastructure Engineer

Zoox is seeking a talented Test Infrastructure Engineer to lead the development of test infrastructure that supports manufacturing tests for our autonomous vehicles. In this role, you will drive the design and development of major infrastructure and platform components such as databases, REST APIs, containerization, CI/CD pipelines, and tester orchestration. You will also collaborate closely across the manufacturing, hardware, and software teams.

Contribute to the development of test frameworks to support all factory testing at Zoox manufacturing sites

Design and implement server infrastructure to support manufacturing test activities

Develop applications to support manufacturing processes and common code libraries for test engineers

Design and build dashboards for manufacturing data, including metrics such as throughput and tester utilization

BS in Computer Science, Electrical Engineering, Mechanical Engineering, or related field; MS preferred

6+ years of industry experience with software development focused on on-prem or cloud infrastructure

Exposure to software technologies used in manufacturing systems, such as MRP, MES, MQTT, SCADA systems, and IoT devices

Experience with cloud deployment and infrastructure technologies, such as Kubernetes, Terraform, and AWS

Deep background in Python programming (scripting, web services, tool development, and test frameworks).  Working knowledge of Pytest required.

Experience building dashboards and alerting systems for monitoring systems to monitor infrastructure health

Knowledge of git and CI/CD pipelines, reproducible builds, deployment strategies, and supporting infrastructure

Experience with Linux system administration and server management

Experience with server fleet management technologies, such as Salt, Ansible, Puppeteer, or Slurm

Experience with system design, including databases, web servers, and containerization (e.g., Docker)

Experience deploying applications to cloud environments (AWS) and on-prem/bare-metal servers

Familiarity with Prometheus and Grafana’s metrics, dashboarding, and logging ecosystem (aka the LGTM stack)