Senior Technical Lead

HCL America, Inc.
United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

C++ (Programming Language) Ubuntu (Operating System) Nvidia CUDA Data Validation Linux Linux on Embedded Systems Ethernet EtherCAT Firmware Python (Programming Language) Performance Tuning Real-Time Operating Systems
+11 more
Software Engineering Data Streaming Wireshark Robot Operating System Delivery Pipeline Control Structures Yocto Integration Tests NVIDIA Jetson Api Management Docker

Job description

  • 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
  • Write and maintain integration tests validating end-to-end data paths from embedded hardware through ROS2 topics

Requirements

Mandatory Skills

  • 5+ years of software engineering experience, with significant work on embedded Linux / robotics platforms
  • Strong proficiency in C++ and Python on Linux (Ubuntu)
  • Hands-on experience with ROS2 - writing nodes, custom message types, lifecycle management, launch files, parameter handling
  • Experience developing software on NVIDIA Jetson platforms (JetPack, CUDA basics, Docker containers)
  • Experience interfacing host software with embedded systems - consuming C/C++ SDKs from hardware vendors, Ethernet/UDP communication with MCUs, serial protocols
  • Experience with sensor integration: cameras (V4L2, GStreamer, or vendor SDK), IMUs, depth sensors, or similar
  • Comfortable working at the hardware-software boundary - reading protocol specs, validating data with Wireshark/logic analyzers, coordinating with firmware engineers

Preferred Qualification

  • Experience with EtherCAT master libraries (IgH, SOEM) on Linux for real-time motor/actuator control
  • Experience with CUDA kernels or GPU-accelerated image processing (de-Bayering, filtering, point cloud generation)
  • Experience with CycloneDDS or other DDS implementations and real-time ROS2 tuning (executor configuration, QoS, zero-copy transport)
  • Experience integrating manipulation/control algorithms (trajectory execution, position control loops, impedance control)
  • Familiarity with Cyphal/DroneCAN or other CAN-based protocols from the host side
  • Experience with Docker-based development and deployment workflows on embedded Linux
  • Experience with device firmware update orchestration across multiple heterogeneous targets
  • Familiarity with PREEMPT_RT Linux configuration, CPU isolation, and real-time scheduling
  • Experience with Yocto/OE or custom BSP builds for Jetson
  • Experience with calibration systems (camera intrinsics/extrinsics, hand-eye calibration)

Must Have Skill

C++,Embedded Linux,ROS (Robot Operating System),Sensors,Nvidia Jetson

About the company

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.

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