Internship - Software Engineering

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Robotics and AI Institute in Zürich is offering a six month, full time internship for Master’s students eager to help build the future of robotics infrastructure. You can join Track A On-Robot Deployment, writing robust real time C++ for hardware, optimizing for Jetson devices, profiling on Linux, and building ROS 2 components; or Track B Off-Robot Training Infrastructure, designing scalable GPU based simulation and model training pipelines, and accelerating research workflows with high performance computing. They seek exceptional software talent with strong fundamentals; Track A requires deep C++ systems knowledge, Track B emphasizes Python C++ and distributed systems with an HPC focus. To apply, tailor your resume to the track, highlight impact driven projects with metrics, showcase ROS 2 or GPU experience, and confirm six months on site availability in Zurich.

What You'll Do

Track A: On-Robot Deployment

Write robust, low-latency modern C++ code for real-time execution directly on robotic hardware

Implement and optimize for embedded platforms like the Jetson family of devices

Profile, benchmark, and eliminate performance bottlenecks in resource-constrained Linux environments

Design and build clean software components using modern software engineering practices and ROS 2

Track B: Off-Robot Training Infrastructure

Design and build scalable software infrastructure for GPU based simulation and model training

Optimize parallel compute pipelines, rendering processes, and data ingestion to accelerate research cycles

Implement SOTA reinforcement learning algorithms to improve training performance

What You'll Need

Currently pursuing a Master's (MS) degree in Robotics, Computer Science, Computational Science & Engineering, or a related field

Prior software engineering experience (e.g., industry internships, significant open-source contributions, or complex project work)

For On-Robot Deployment: Exceptional core software engineering foundations in Modern C++, system architecture, data structures, and memory management (C++ or another systems language is strictly required for this track)

For Off-Robot Infrastructure: Strong systems programming skills (C++, Python, etc.) with a deep interest in high-performance computing, distributed systems, or large-scale data processing. Experience with high level GPU programming languages (Warp, Jax) is a plus.

Areas of Special Interest

While strong core software engineering fundamentals in systems programming are required, no specific domain expertise beyond that is necessary. However, if you happen to possess experience in any single one of the following areas, it would be a massive plus and highly relevant to our current projects:

Hardware Acceleration & Graphics: Experience with GPU programming, CUDA, parallel processing, or rendering pipelines (e.g., Gaussian splatting).

Physics & Simulation: Familiarity with computational physics, contact models, rigid body dynamics, or physics engines (e.g., Nvidia Newton).

Machine Learning Systems: Experience optimizing or implementing embedded neural network inference and hardware-level ML acceleration.

Reinforcement Learning Algorithms: Experience working with and implementing RL algorithms from state of the art papers.