Technical Lead - AI Manipulation and Simulation (human)

Atlas Metrics; München; Vor Ort; EUR 85.000 - 110.000; Vollzeit

Benefits dieser Stelle

30 vacation days

Flexible hours

Competitive salary package

Employee discounts

Professional growth support

Zusammenfassung

Atlas Metrics is looking for a Technical Lead in AI Manipulation and Simulation to join our AI Department in Munich. In this role, you will develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings through cutting-edge algorithms.

Key responsibilities include designing multimodal learning systems, building simulation infrastructures, and leading engineering to merge simulation with physical robots. If you're passionate about advancing human-machine interaction, this is a unique opportunity.

Qualifikationen

• 6 or more years of experience in computer science or engineering, delivering AI systems on robotic hardware.
• Hands-on leadership experience in multimodal manipulation systems.
• Proven track record in building simulation infrastructure for reinforcement learning.

Aufgaben

• Design and build systems for multimodal learning architecture.
• Build and maintain GPU-accelerated simulation environments.
• Lead engineering efforts to close the gap between simulation and physical hardware.

Kenntnisse

Deep learning expertise

Programming skills in Python and C++

Leadership in designing multimodal systems

Experience with simulation infrastructure

Data pipeline management

Tools

ROS2

Isaac Lab

MuJoCo

Jobbeschreibung

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.