Embedded Software Engineer​/Developer

Job Title:Embedded Software Engineer/Develop per

Position Type:Contract (12 months)

Location:Sunnyvale, CA (On-site)

Salary Range / Rate:$90/h~$160/h

Job #:175938

We are looking for a hands-on ROS2 Robotics Software Engineer to own the software integration between the robotic end effector and its host compute platform. This is a technical, execution-focused role: you will build and maintain the ROS2 nodes that stream sensor data, the GPU-accelerated image processing pipeline, and the data collection infrastructure that the applied science team relies on to train and evaluate manipulation policies.

This role operates in a robotics research and development environment where technical requirements are often ambiguous and evolving. You will work directly alongside scientists and research engineers, translating early-stage concepts into reliable, well-instrumented software running on real hardware.

• Own the ROS2 nodes for the sensor module, including camera, depth (dToF), and IMU streaming at target rates (approximately 20 Hz for imaging and 1 kHz for inertial data).
• Develop and optimize a GPU-accelerated de-Bayer and image processing pipeline for real-time sensor data.
• Package and integrate the camera vendor SDK into ROS2 packages for maintainable, reproducible builds.
• Perform end-to-end latency characterization and validation across the sensing and compute pipeline.

• 5+ years of software development experience with at least one modern programming language (C++ and/or Python).
• Hands-on experience developing with ROS2, including authoring and maintaining nodes, topics, services, and launch systems.
• Experience integrating and streaming real-time sensor data (cameras, depth sensors, IMUs) on robotic or embedded systems.
• Experience with data pipeline tooling such as rosbag2 for recording, playback, and analysis.
• Ability to work onsite in Sunnyvale, CA.

• Experience with GPU-accelerated image processing (CUDA, de-Bayer, or similar real-time vision pipelines).
• Experience deploying software on embedded GPU compute platforms (such as NVIDIA Jetson class devices).
• Experience with ROS1 to ROS2 migration, DDS, and QoS tuning for real-time performance.
• Experience packaging and integrating third-party or vendor SDKs into a robotics software stack.
• Experience supporting applied science or research teams with data collection and policy interface infrastructure.
• Experience with end-to-end latency analysis and optimization across sensing and compute pipelines.

Benefits eligibility varies based on the employment arrangement and applicable eligibility requirements. Details will be confirmed during the hiring process.

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The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, Intelli Pro provides a comprehensive benefits package, all subject to eligibility.