Hil Platform Scalability Engineer

Wayve Wayve · Robotics · Sunnyvale, CA · Product & Delivery

The role focuses on building and scaling Hardware-in-the-Loop (HIL) platform infrastructure for autonomous driving systems. Responsibilities include designing observability systems, building tools for uptime and efficiency, managing HIL systems, developing automation for configuration, and ensuring integration with test pipelines. The goal is to support system-level integration and validation at scale across multiple locations.

What you'd actually do

  1. Design and implement observability systems to monitor health, uptime, and utilization of HIL benches across multiple sites
  2. Build tools and workflows to reduce bench downtime, increase availability and minimize operational overhead
  3. Manage HIL systems including all the underlying infrastructure, ensure it’s reliable, scalable and secure
  4. Develop automation for bench configuration, track changes, and maintain configuration/version control
  5. Ensure seamless integration of HIL systems into test automation, CI pipelines, and scheduling framework

Skills

Required

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineer, Systems Engineering or a related field
  • 2+ years of experience working with test infrastructure, e.g., HIL, or hardware/software test environments
  • Proficiency with observability/monitoring tools, e.g., Datadog, Grafana, Prometheus, etc
  • Strong scripting and automation experience using Python, Bash, or similar scripting languages
  • Proficiency with Linux or Unix based operating systems, command line tool
  • Familiarity with CI/CD pipelines, test scheduling systems, and orchestration tools
  • Excellent problem solving skills and operational thinking
  • Strong written and verbal communication skills

Nice to have

  • Experience in platform operations, site reliability engineering(SRE), or scaling test infrastructure
  • Hands-on experience with configuration management tools, such as Ansible, Chef, Terraform
  • Familiarity with containerization orchestration engines(e.g., Kubernetes) and proven understanding of continuous development techniques and pipelines (CI/CD, Git)
  • Experience working with autonomous systems including robotics and/or autonomous vehicles
  • Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR

What the JD emphasized

  • scalable test infrastructure
  • system integration and validation at scale
  • end-2-end AI model core