About the job
Quartermaster AI develops AI and robotics platforms for open-ocean operations. Their distributed maritime systems enable vessels to sense, process data, and communicate, helping to improve safety and sustainability at sea. By combining edge computing with cloud infrastructure, the company supports advanced maritime domain awareness.
Role overview
The Lead Principal Platform Systems Engineer - Test Automation will architect and maintain systems for development and testing across cloud, edge, and hardware-in-the-loop (HIL) environments. Reporting to the Head of Platform, this position centers on building reliable infrastructure that supports hardware, machine learning, and robotics teams working in demanding maritime contexts. The role requires a hands-on systems generalist who is comfortable with AWS pipelines, lab automation, and embedded devices.
What you will do
- Design and oversee HIL and software-in-the-loop (SIL) test environments, automating lab processes and hardware bring-up to ensure reliable regression coverage.
- Build and maintain deployment pipelines with tailored release gating for embedded and edge platforms, such as NVIDIA Jetson, supporting dependable updates for hardware-integrated software.
- Develop internal tools and simulation or replay pipelines to streamline and accelerate the development cycle for robotics and machine learning teams.
- Add observability features to lab rigs and edge deployments, and guide architectural, standards, and quality assurance decisions across teams.
Requirements
- Minimum 10 years in systems or platform engineering, developer experience, or embedded infrastructure, with proven execution in startup settings.
- Extensive Linux systems engineering knowledge, including networking and troubleshooting in containerized and reproducible environments.
- Direct experience with hardware interfaces (UART, SPI, I2C, CAN), low-level device communication, and integrating lab instruments into automated testing frameworks.
- Familiarity with the NVIDIA Jetson ecosystem, SDR/RF validation, or deploying AI/ML workloads at the edge, especially in maritime or similarly challenging environments.
Location
California
