Technical Lead - AI Manipulation and Simulation (human)

Technical Lead - AI Manipulation and Simulation (human)

Neura Robotics • Munich

In the AI Department, you develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You’ll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision‑making in complex environments. You’ll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting‑edge tools and methods from machine learning and AI, you’ll work on projects that have a direct impact on our products. If you’re excited about making machines smarter and shaping the future of human‑machine interaction, the AI Department is the perfect place for you.

Your mission & challenges

• Multimodal Learning Architecture: You design and build systems that fuse camera, depth, tactile, IMU, language, and robot‑state inputs into executable robot actions. You define how these modalities combine and translate into policies that run on our dexterous hands.
• Simulation Infrastructure & Data Pipelines: You build and maintain GPU‑accelerated simulation environments and the data pipelines that make policy training scalable.
• Sim‑to‑Real Transfer: You lead the engineering work that closes the gap between simulation and physical hardware.
• Team Leadership & Engineering Direction: You translate research problems into concrete milestones, guide engineers, and work across ML, robotics, and hardware teams to ship learning systems that run on physical robots.

Requirements

• Experience: 6 or more years of experience in computer science or a related engineering field, with meaningful time delivering AI systems on physical robotic hardware.
• Leadership: Hands‑on experience leading or co‑leading the design of multimodal manipulation systems combining vision, language, tactile, and proprioceptive inputs.
• Simulation infrastructure: Proven track record building simulation infrastructure (Isaac Lab and Isaac Sim, or MuJoCo) for reinforcement learning and sim‑to‑real transfer.
• Deep learning expertise: Deep practical knowledge of imitation learning (including diffusion policies), deep RL, and hybrid learning approaches on real robot hardware.
• Data pipelines: Experience with data pipelines for heterogeneous, high‑frequency sensor data: teleoperation, tactile, vision, depth, and robot state.
• Programming skills: Strong Python and C++, with experience in ROS2 and embedded or real‑time systems.
• Mentoring: Ability to translate ambiguous research problems into concrete engineering milestones and to grow junior engineers.

Nice to have

• Experience with high‑DOF, tendon‑driven, or tactile‑heavy dexterous hands.
• Familiarity with VLA or vision‑language‑action architectures and large‑scale pre‑training workflows.
• Contributions to the robotics or AI research community (ICRA, IROS, CoRL, NeurIPS).

What you can look forward to

• Creative Freedom and Agility: Enjoy a dynamic, self‑reliant work culture with flat hierarchies, flexible hours, and 30 vacation days.
• Passion for Winning: A passionate and highly skilled team of international experts aiming to redefine robot assistants.
• Attractive Compensation: Enjoy a competitive salary package along with exclusive employee discounts.
• One Team: Whether it’s a summer party or company town hall meetings, we celebrate our successes together.
• Professional Growth: Support for your personal and professional development.