Robotics Software Engineer

• Strong proficiency in modern C++ (primary) and Python, object‑oriented programming (OOP) skills, multi‑threading, and Linux‑based application development
• Proficiency with robotics packages - ROS (core competency), URDF, Mu Jo Co , Eigen
• Proven experience with controls software integration, especially with hardware abstraction layers for sensors and actuators
• Experience with container orchestration technologies (Kubernetes, Docker)
• Experience with robot communication and industrial networking protocols (Ether
  
  CAT, CAN)
• Strong understanding of distributed systems, microservices architectures, and API design principles

• Familiarity with teleoperation stacks, including Unity‑based and/or VR‑supported environments
• Experience developing platform‑level robotics software, spanning controls, inverse kinematics (IK), and perception drivers (e.g., camera and sensor interfaces)

As a Staff Software Systems Engineer for robot software, you play a pivotal role in the development of advanced, general‑purpose robots designed to operate in human environments and work with human tools. This position demands a high degree of ownership and responsibly, driving projects across the engineering from conception to completion. You will be responsible for leading software design project efforts for general and specific use and test cases.

Drive cross‑functional engineering teams to design, develop and maintain scalable and reliable platform software solutions that support the deployment and operating of robotic systems.

Lead cross‑functional, multidisciplinary teams to develop software requirements, architectures, implementation schedules, and test plans for full‑stack robotic systems.

Lead and support Root Cause Analysis on complex hardware‑software‑control integration and operational bugs.

Design and develop APIs, services and frameworks to allow for unique prototype robot use cases, research and development investigations as well as off nominal test scenarios.

Troubleshoot and debug complex issues in both development and production environments, ensuring rapid prototyping and minimal downtime.

Design and develop fault detection, diagnostics, and recovery plans to enhance system robustness and uptime.

Support the validation team by developing segmented robot or subsystem control software to allow for efficient test execution and data collection.