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You will be updated with latest job alerts via emailYoull be the glue between sensors software and hardwareowning system integration of LiDAR camera stacks on a ROS2 platform (Jetson Orin) and taking end-to-end responsibility for validation & test (SIL/HIL on-rig on-road).
System integration (LiDAR cameras): Bring up configure and tune sensors (e.g. Ouster/Hesai GMSL2 cameras); manage drivers time sync (PTP/IEEE-1588) triggering exposure and bandwidth.
ROS2 on Orin: Package perception nodes (C/Python) deploy with Docker on NVIDIA Jetson Orin; optimize with Isaac ROS/TensorRT where relevant.
Calibration & perception pipeline: Own camera intrinsics/extrinsics and LiDARcamera calibration (e.g. Kalibr OpenCV PCL); verify point-cloud image alignment and perception KPIs.
Data logging: Define rosbag2 logging strategies dataset/versioning hygiene and replay workflows (SIL/HIL) for deterministic debugging and regression.
Test ownership: Define the test strategy (component system) write test plans create automated launch/integration tests (gtest/pytest/ROS2 launch) and drive CI (build hardware-smoke regression).
Reliability in the loop: Proactively chase down flaky drivers clock drift thermal throttling and real-time constraints; contribute to HW BOM choices (cables hubs PPS/GPS time).
Collaboration: Work across Perception Firmware and Platform; document architecture and test results; support on-rig bring-up and field testing.
Must have:
48 years in robotics/AV/vision system integration (not just pure research).
Strong ROS2 (rclcpp launch DDS like Cyclone/FastDDS) C14/17 (some Python) CMake/Bazel Git Docker.
Hands-on with LiDAR (Ouster/Hesai/Velodyne) & industrial cameras (GMSL2/CSI/USB3; FLIR/Basler/etc.) time sync (PTP/NTP/PPS) and calibration tooling.
Comfortable on NVIDIA Jetson Orin (JetPack Nsight tegrastats) performance/latency profiling TensorRT/Isaac ROS (plus).
Proven test ownership: designing automated integration/system tests SIL/HIL hardware smoke tests and CI pipelines.
Linux/Ubuntu (20.04/22.04) networking (Ethernet VLANs) basic CAN.
Nice-to-have:
Join us
If you love building reliable perception systems and want to see your work run on real hardware in the field and on the road - wed love to meet you.
Full Time