About Cyberwave

Cyberwave’s vision is to unlock the full potential of intelligent machines by making robotics as accessible, scalable, and programmable as cloud software. We believe in a future where deploying robotic systems is no longer limited by complexity, fragmentation, or vendor lock-in.

Our mission is to accelerate this future through an AI-powered robotics platform that abstracts away hardware complexity and empowers developers to build, deploy, and scale robotic applications with high-level, intuitive commands. By bridging classical robotics frameworks with modern machine learning in a modular architecture, Cyberwave simplifies integration across heterogeneous systems. With built-in web-based simulation and digital twin tools, we enable seamless development, real-time monitoring, and faster iteration from concept to deployment—both in simulation and the real world.

We are building an A+ team with talent based in Zurich, Milan, and Rome. Join our dynamic and collaborative environment—whether from our Zurich headquarters or remotely within a similar time zone. Enjoy the flexibility to shape your own schedule while staying aligned with our shared goals and fast-paced mission.

The Role

We’re looking for a Physical AI Engineer to help build the infrastructure that connects intelligent software with the physical world. You’ll develop systems that allow robots to perceive, learn, and adapt—bridging the gap between simulation and deployment.

This is a hands-on, engineering-first role that combines software architecture, real-time systems, and machine learning integration. You’ll design and optimize C++ systems that handle large-scale data exchange between digital twins and physical platforms, ensuring speed, precision, and reliability.

Working alongside experts in AI, systems, and robotics, you’ll help shape the technical foundation of Cyberwave’s platform—where learning meets embodiment.

What You'll Do

• Architect and optimize C++ core systems supporting real-time interaction between simulated and physical environments.
• Build and maintain infrastructure for data ingestion, synchronization, and transformation across diverse hardware and simulation platforms.
• Develop high-performance simulation and digital twin software, leveraging modern environments such as MuJoCo, Isaac Sim, or Newton.
• Design modular APIs that abstract simulator-specific complexity and integrate with learning and control pipelines.
• Ensure robust software quality through testing, profiling, and debugging of complex, performance-sensitive codebases.
• Collaborate with AI, systems, and hardware teams to align simulation capabilities with real-world deployment needs.
• Contribute to sim-to-real workflows, including environment randomization, configuration management, and scenario generation.

What You’ll Bring

• Degree in Computer Science, Electrical Engineering, Physics, or a related field (BSc/MSc/PhD), with a strong foundation in applied mathematics, physics, or computational modeling.
• 5+ years of experience developing production-grade software in C++ , with a focus on performance, memory management, and maintainability.
• Hands-on experience with real robots including setup, customization, and integration with other systems.
• Deep familiarity with robotics middleware, such as ROS or ROS 2.
• Practical experience with physics-based simulators (e.g., MuJoCo, Isaac Sim, Newton, Gazebo) and hands-on work with robotic hardware or embedded platforms.
• Deep familiarity with a range of message queuing protocols, data distribution services and serialization methods (e.g., MQTT, gRPC, DDS, HDF5, point clouds, and image stacks).
• Strong understanding of real-time systems, concurrency, and multi-threaded programming.
• Experience with version control (Git), containerization and build systems (e.g., Docker, Bazel, CMake).
• Strong analytical and problem-solving abilities, excellent teamwork and collaboration skills.
• Prior experience in startups, R&D labs, or environments requiring rapid prototyping and deployment.
• Background in numerical methods, computational geometry, or game engine physics is a strong plus.

What We Offer

• Work on high-impact robotics problems, enabling the next generation of intelligent machines.
• Join a world-class, cross-disciplinary team that values innovation, curiosity, and bold thinking.
• Competitive compensation, including a strong salary package and meaningful equity options.
• Flexible work culture with support for remote work and autonomy over your schedule—outcomes over hours.
• Access to state-of-the-art simulation environments and robotic systems, from digital twins to physical platforms.

Ready to build the future of intelligent machines? 

Apply now: [email protected].