Robotics Engineer, Software

Tasks and Qualifications

• Development of foundational software for mobile robotic systems within a globally distributed team, dedicated to the Americas region.
• Demonstrate your skills in simulation, tooling, and platform management to ensure software scalability and use case handling through perception and configuration.
• Collaborate with fellow engineers, encouraging a culture of technical innovation.
• Contribute to the strategic direction of our robotics software initiatives.
• Core responsibilities include:
• Architect and develop core C++ software systems for embedded onboard software, simulation, and deployment.
• Drive development of robust tools and frameworks for internal teams and robotic platforms.
• Drive technical direction in code structure, system design, and performance optimization.
• Collaborate with robotics, cloud, and systems teams on multi-functional efforts.
• Mentor and review work of junior and mid-level engineers.
• Define engineering best practices and contribute to technical roadmap.

• Deep expertise in modern C++ (C++17/20), STL, memory management, and performance tuning.
• Strong background in software architecture and large codebases.
• Experience with multi-threaded, distributed, or real-time systems.
• Proven track record in mentoring or technical ownership.
• Excellent understanding of Linux, debugging, and profiling tools.

• Ability to switch between C++, scripting (Python/Bash), and integration tasks.

Qualifications

• 3-5 years of professional experience in C++ software engineering and robotics.
• Hands-on experience with ROS/ROS2 or other robotics frameworks.
• Prior work in autonomous systems, robotics, or embedded environments.
• Familiarity with middleware (DDS, ZeroMQ, gRPC), containerization, and orchestration tools.
• Experience in system integration, hardware/software interfacing, or deployment pipelines.
• Experience working in fast-paced research and development environments.
• Strong mathematical knowledge, including optimization, polynomials.
• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Software Engineering, Robotics, or a related technical field (required).
• A Ph.D. or equivalent experience in research or innovation is a plus.