successfactors
Senior Tech Lead - Embedded Linux, Java, Python (134226)
HCLTech: Supercharging Progress | AI, Cloud and Engineering
IND
Contract
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
NVIDIA JetsonROS2UbuntuPREEMPT_RTJetPackDocker
Free
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NVIDIA JetsonROS2Ubuntu
Role Overview
We are seeking a Senior Software Engineer contractor to develop robotics platform software on NVIDIA Jetson (Linux/ROS2) for a manipulation system integrating custom grippers, sensors, and actuator subsystems. You will write ROS2 nodes, develop host-side SDKs interfacing with embedded hardware over Ethernet and EtherCAT, integrate sensor pipelines (cameras, depth, tactile, IMU), and deploy perception/control algorithms into the real-time platform. The work is hands-on, systems-level C++/Python on Ubuntu with PREEMPT_RT, JetPack, and Docker.
Key Skills for This Role
NVIDIA JetsonROS2UbuntuPREEMPT_RTJetPackDocker
Full Job Posting
Job Summary
We are seeking a Senior Software Engineer contractor to develop robotics platform software on NVIDIA Jetson (Linux/ROS2) for a manipulation system integrating custom grippers, sensors, and actuator subsystems. You will write ROS2 nodes, develop host-side SDKs interfacing with embedded hardware over Ethernet and EtherCAT, integrate sensor pipelines (cameras, depth, tactile, IMU), and deploy perception/control algorithms into the real-time platform. The work is hands-on, systems-level C++/Python on Ubuntu with PREEMPT_RT, JetPack, and Docker.
Key Responsibilities
- Develop and maintain ROS2 nodes for gripper command/state, sensor streaming (cameras, IMU, dToF, tactile), and device management (DFU, discovery, calibration)
- Develop and integrate host-side SDKs that interface with embedded MCU subsystems over Ethernet and EtherCAT — wrapping vendor C/C++ libraries into ROS2-compatible drivers
- Implement sensor integration pipelines on Jetson: camera frame acquisition and GPU-accelerated processing (CUDA de-Bayering), depth sensor post-processing (dToF zone → point cloud), IMU streaming, tactile data decoding
- Integrate control and perception algorithms developed by scientists into the real-time platform — ensuring timing, data flow, and API contracts are met
- Develop device management software: firmware update orchestration (DFU) across heterogeneous nodes (MCU, sensor modules, actuators), device discovery, health monitoring
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