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HireBound · posted 5 days ago
What you'll actually do.
• Own the intelligence layer. Someone else may bolt the chassis together and wire the motors. Making the machineperceive, navigate, decide and respond is yours.
• Get models off the laptop and onto the robot. PyTorch to ONNX to TensorRT to Jetson to ROS 2 - and the hard partis the last three steps: latency, GPU memory, FP16 and INT8, thermals, frames you cannot afford to drop.
• Build the ROS 2 architecture we will reuse. Nodes, packages, launch files, services, actions, TF2, URDF, Nav2. Aplatform, not fifteen one-off robots.
• Make it boot. A robot that needs an engineer to open five terminal windows is a university demonstration. Docker,auto-start, OTA updates, remote logging, watchdogs, crash recovery.• Simulate before you break things. Isaac Sim and Isaac Lab, so the first real-world test is not the first test.
• Diagnose the physical world. USB disconnects, motor noise resetting a microcontroller, localisation drift, thermalthrottling, a node dying when Wi-Fi drops. This is most of the job on most days, and it is the part we are really hiringfor.
What we need you to have already.
Non-negotiable
Python. Linux you are genuinely comfortable in, not just a terminal you have seen. Git and GitHub.Enough networking to debug a connection yourself. The habit of reading a log before asking aquestion.
Several of these
NVIDIA Jetson · ROS 2 · OpenCV · PyTorch · TensorRT · CUDA · Docker · SLAM · Nav2 ·LiDAR · stereo or depth cameras · embedded systems. We do not expect all of them - we expectreal use of some.
Strong advantage
Isaac ROS, Isaac Sim, Isaac Lab, NITROS, DeepStream, GStreamer, WebRTC, OAK-D / DepthAI,RealSense, ESP32, STM32, FreeRTOS, CAN bus, MQTT, visual or LiDAR SLAM, Kalmanfilters, mobile robots, robot arms, drones, reinforcement learning, vision-language-action models.
What counts as proof
A repository we can read. A video of the thing moving. A write-up of what broke. College team,hackathon, personal build, internship - the origin does not matter.