The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.
As an AI Developer Technology Intern, you will work on cutting-edge deep learning, machine learning, and data analytics projects, optimizing performance on GPU architectures. You'll collaborate with key customers and NVIDIA teams to solve complex problems and influence the design of next-generation technologies.
This role focuses on defining, integrating, and verifying the software and autonomy systems for a humanoid robot platform. The engineer will translate operational needs into system requirements, manage cross-component interfaces, and lead verification across perception, navigation, planning, and controls—working closely with software teams and using ROS 2, simulation, and distributed systems. The position emphasizes architectural coherence, integration readiness, and system-level validation in real-world robotic applications.
This role involves conducting cutting-edge research in reinforcement learning and large language models, with a focus on advancing general intelligence in vision-language models. The scientist will co-develop novel architectures, publish high-impact work, and contribute open-source code to ensure reproducibility. Based in Zurich, the position operates at the intersection of theoretical innovation and practical implementation in AI.
Lead a team of technicians in the assembly, rework, and repair of advanced humanoid robots, ensuring high-quality electro-mechanical integration and rapid iteration. Drive team culture, troubleshoot build issues across mechanical and electrical systems, and collaborate closely with engineering and test teams during first-article builds and design changes. Operate in a fast-paced environment with evolving designs and urgent timelines.
This role involves deploying and testing computer vision and ML systems in live environments, turning research models into production-grade software, and planning specialized data collections. You will also brief non-technical stakeholders on the capabilities and limitations of the technology.
This role involves designing and developing safety-critical embedded software for autonomous systems, focusing on runtime assurance, mission control, and certification. You will work with high-integrity languages like SPARK Ada and contribute to the verification and validation of systems for aerospace and land applications.
Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing novel models with extended task horizons and improved memory, contributing to open-source code and high-impact publications. Work within a world-leading AI research team focused on long-term breakthroughs in intelligent machines.
