Senior Robotics Platform Engineer

Job description

Job responsibilities

• Design and own the end-to-end provisioning pipeline: from bare-metal OS imaging through hardware configuration, software installation, calibration, and pre-shipment validation.
• Own provisioning for all robot hardware peripherals: depth cameras, LiDAR and GPS sensors, motor drivers, networking, and other embedded subsystems.
• Develop end-of-line (EOL) test frameworks and reporting infrastructure, including pass/fail logging, failure diagnostics, and traceability per unit.
• Collaborate with manufacturing to ensure provisioning tooling is robust, repeatable, and operator-friendly.
• Support our growing fleet of robots working in real-world environments by developing tooling and runbooks to diagnose, repair, and re-provision units in the field with minimal downtime.
• Work with R&D to commercialize and deploy new hardware and features reliability in production
• Build monitoring and logging infrastructure for the provisioning pipeline and runtime environments, to be integrated with dashboards and alerting for fleet-level health.
• Document all systems, processes, and runbooks

Job requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field required. We strongly weigh practical, demonstrable experience over academic credentials;
• 5+ years of hands-on experience designing and operating infrastructure for hardware at scale: robotics, autonomous vehicles, medical devices, industrial IoT, or equivalent.
• Demonstrated experience building provisioning or imaging pipelines for large numbers of physical devices (hundreds to thousands of units).
• Strong Linux systems administration: kernel configuration, systemd, networking, storage, package management, hardware interfaces.
• Proficiency with containerization: Docker and/or Podman, container runtime configuration, and image management at the OS level.
• Scripting and automation fluency in Bash and Python.
• Experience building or operating end-of-line or hardware acceptance test systems.
• Ability to work effectively across engineering, manufacturing, and support, and communicate clearly in each context.