HIL Platform Scalability Engineer

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 21