The role
We are building a new team from the ground up, focused on developing the first generation of verification and validation infrastructure (hardware and software), including automated Hardware-in-the-Loop (HIL) with emulation of sensors, and vehicle systems.
As a HIL Platform Scalability Engineer, you’ll ensure that our HIL systems scale reliably across different benches, programs and geographic locations. You’ll lead the development of monitoring, alerting, and access control and automation infrastructure that enables system uptime, test execution efficiency, and reliable operation of a global HIL fleet.
We are looking for engineers who thrive at the intersection of test systems, infrastructure, automation and operation. In this role, you’ll be critical to scaling and maintaining a fleet of HIL systems that support system level integration and validation at different locations, while enabling engineer teams to move faster and with confidence.
Key responsibilities:
Design and implement observability systems to monitor health, uptime, and utilization of HIL benches across multiple sites
Build tools and workflows to reduce bench downtime, increase availability and minimize operational overhead
Manage HIL systems including all the underlying infrastructure, ensure it’s reliable, scalable and secure
Develop automation for bench configuration, track changes, and maintain configuration/version control
Ensure seamless integration of HIL systems into test automation, CI pipelines, and scheduling framework
Work with other HIL engineers to triage and troubleshoot hardware/software issues affecting HIL stability
Define HIL operational level agreement, and drive continuous improvements to scale bench operations efficiently
Implement access control systems and remote control/interaction infrastructure in collaboration with IT and security teams
Collaborate with the wider HIL team to innovate HIL test system as a service
About you
You’re passionate about building robust, scalable test infrastructure that enables efficient system integration and validation at scale. You bring a strong mix of test system knowledge, infrastructure engineering and operational experience - with a strong focus on enabling engineering teams to deliver confidently at scale. This is an exciting opportunity to be part of a cutting-edge team that directly impacts the future of autonomous driving technologies, with an end-2-end AI model core.
Essential Skills:
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
Desirable Skills:
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
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $137,300 to $207,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.