Internship - Software Engineering
4 дн. назад
SwitzerlandEuropeTraineeOnsite
system designalgorithmic computationsoftware development
Internship for master's students to work on software engineering challenges in AI and robotics, focusing on system design and computational foundations.
О компании
- Our Mission Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. What we are looking for Master's students looking to work full-time for an extended period (~6 months) in an invigorating environment where researchers and engineers are building the future of robotics infrastructure and systems. If you have a deep passion for writing clean, performant software and want to build the computational foundations that power advanced robotics, you will want to join us! Prior robotics experience is not required —we are looking for exceptional software talent with strong fundamentals in system design and numerical or algorithmic computation. Depending on your background, y
Обязанности
- 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
- 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
Требования
- 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.
Другое
- 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.