About the Role

Key Responsibilities

Software Architecture & Systems Integration

• Design, develop, and maintain scalable software architectures and middleware solutions for distributed multi-robot systems.
• Translate research concepts, algorithms, and prototypes into robust, production-quality software.
• Develop high-performance applications using modern C++ and Python.
• Establish and promote software engineering best practices, including code reviews, testing strategies, and maintainable system design.

Simulation & Sim-to-Real Development

• Build and manage high-fidelity robotics simulation environments to validate autonomous behaviors and multi-agent coordination strategies.
• Own and continuously improve Sim-to-Real workflows, ensuring reliable transfer of capabilities from simulation to physical platforms.
• Analyze telemetry, system logs, and field performance data to identify and close simulation-reality gaps.

Deployment, Testing & Validation

• Take ownership of solutions throughout the entire development lifecycle, from concept and simulation through physical deployment and validation.
• Participate in field testing activities, debugging software and system behaviors in real-world environments.
• Collaborate across multidisciplinary teams to integrate autonomy, perception, communication, and coordination capabilities.

Required Qualifications

• Master's degree in Robotics, Control Engineering, Computer Science, or a related discipline.
• Strong hands-on software development experience with:
  • C++
  • Python
• Demonstrated expertise in developing and maintaining high-fidelity robotics simulation environments such as Gazebo or custom simulation frameworks.
• Proven experience bridging the Sim-to-Real gap and deploying robotics solutions from simulation into real-world systems.
• Extensive experience with ROS2 and the development of scalable middleware architectures.
• Strong background in Multi-Robot Systems (MRS), swarm robotics, or distributed autonomous systems.
• Experience developing communication and coordination frameworks for multiple robots, UAVs, UGVs, or heterogeneous robotic fleets.
• Willingness to take full ownership of solutions through software development, validation, integration, and field deployment.

Preferred Qualifications

• Hands-on experience deploying robotic systems on physical platforms in operational environments.
• Experience with autonomous aerial, ground, or marine systems.
• Familiarity with robotics frameworks and autopilot ecosystems such as:
  • PX4
  • ArduPilot
  • Nav2
  • MOOS-IvP
• Experience with CI/CD pipelines, containerization (Docker), and robotics DevOps practices.
• Understanding of networking and communication challenges in distributed robotic systems, including concepts such as:
  • Mesh networking
  • Low-bandwidth communications
  • Network latency
  • Intermittent connectivity

What We're Looking For

• A hands-on engineering mindset and active coding involvement.
• Strong problem-solving and systems-thinking capabilities.
• Ability to decompose complex technical challenges into executable workstreams.
• Experience mentoring engineers and influencing technical direction.
• Adaptability in fast-paced R&D and advanced technology environments.
• Creativity in designing practical and scalable robotics solutions.