Robotics Wireless & Network Engineer

RIVR is a Swiss robotics company pioneering Physical AI and robotic solutions to revolutionize last-mile delivery, giving 1 human the power of 1000. Through the combination of artificial neural networks and innovative robot designs with wheels and legs, RIVR aims to enhance efficiency, sustainability, and scalability in last-mile delivery. Founded as Swiss-Mile, the company rebranded to RIVR in 2025 to better reflect its mission of driving the future of intelligent robotics. Join our innovative team, renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich, we are leaders in translating artificial intelligence and robotics into practical, real-world applications.
RIVR is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
Job Description
We are seeking a highly motivated and experienced Robotics Wireless & Network Engineer to take ownership of the critical communications backbone for our fleet of delivery robots. In this foundational role, you will design, implement, and optimize the communication backbone connecting our robotic fleet to the cloud and remote supervision systems. This role combines deep wireless networking knowledge with robotics middleware integration, building the full data transport layer that enables reliable, low-latency, and secure operation of our robots.

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.