Robotics Wireless & Network Engineer

What you’ll be doing

• Network Architecture & Design: Define and implement robust, scalable, and secure network architectures integrating 4G/LTE, 5G (URLLC), Wi-Fi, and Mobile Edge Computing (MEC).
• Wireless Optimization: Evaluate and tune wireless performance (RF, antenna placement, signal reliability) to ensure ultra-low latency and high-bandwidth communication.
• Middleware Integration: Develop and maintain real-time data flow between the robot and the supervision stack using ROS2/DDS, WebRTC, and gRPC.
• System Reliability & Monitoring: Implement tools to monitor fleet connectivity, system health, and communication degradation across the network stack.
• Security Implementation: Design and apply authentication, encryption, and secure message-passing mechanisms to protect robot-to-cloud data streams.
• Cross-Functional Collaboration: Work closely with Autonomy, Cloud, and Operations teams to ensure seamless end-to-end integration across hardware, software, and supervision systems.

What you must have

• Bachelor’s or higher degree in Computer Science, Electrical Engineering, or Communications Engineering.
• 5+ years of experience in network engineering or robotics connectivity, ideally in robotics, autonomous vehicles, or drones.
• Solid knowledge of networking protocols (TCP/IP, UDP, WebRTC, gRPC, MQTT).
• Hands-on experience with RF engineering, antenna design, and link budget analysis for mobile systems.
• Strong proficiency with ROS2/DDS and middleware integration for real-time systems.
• Proven ability to design and test secure, high-reliability network systems.
• Experience working with Linux-based systems.

Get some bonus points

• Architectures: Familiarity with cloud-to-edge architectures and MEC (Multi-access Edge Computing) deployment.
• Scripting: Scripting in Python or Go for testing and automation.
• Domain Experience: Prior experience in robotics, teleoperation, or remote supervision systems.