Embedded Systems Engineer
This engagement will support standing up a dedicated edge-compute environment for a new LiDAR ground-truth pipeline, operating alongside their existing vehicle edge platform. Our engineer will lead board-level bring-up, BSP development, driver integration, and low-level platform work — partnering closely with the Perception & Sensor Fusion Engineer, who owns sensor calibration, synchronization, and the perception logic running on top of the platform.
What You'll Do

• Design and stand up a dedicated edge-compute unit, potentially using an NVIDIA Orin-class platform, to support LiDAR and multi-sensor processing.
• Own board support package (BSP) bring-up and driver modifications required for camera, LiDAR, and other vehicle sensor integration.
• Implement OS- and microprocessor-level functionality supporting millisecond-level multi-sensor time synchronization.
• Support on-device storage and upload infrastructure for captured sensor data.
• Collaborate closely with perception, platform, and OS engineering teams on hardware/software integration.
• Develop and validate functionality using mock or synthetic sensor data during initial development.

• Strong C/C++ experience, including low-level driver development and BSP/board bring-up on embedded or edge hardware.
• Experience bringing up and developing on RTOS, embedded Linux, QNX, or similar operating systems on ARM-based or comparable platforms.
• Experience working in resource-constrained, real-time edge-compute environments.
• Hands-on experience with camera, LiDAR, radar, IMU, or other sensor integration at the embedded/platform level.
• Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-intensive autonomous system.
• Strong hardware/software debugging and systems-integration experience.
• Ability to work North American business hours with strong written and verbal communication skills.

• Direct experience with LiDAR integration at the BSP or driver level.
• Experience supporting ADAS, autonomous-driving, perception, or sensor-fusion platforms.
• Experience with NVIDIA Jetson, Orin, DRIVE, or similar edge-compute platforms.
• Experience with multi-sensor time synchronization, hardware timestamping, PTP/PPS, or related technologies.
• Background in autonomous vehicles, robotics, drones, or industrial collision-avoidance/safety systems.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-CH1