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.
6 or more years of experience in computer science or a related engineering field, with meaningful time delivering AI systems on physical robotic hardware
Hands-on experience leading or co-leading the design of multimodal manipulation systems combining vision, language, tactile, and proprioceptive inputs
Proven track record building simulation infrastructure (Isaac Lab and Isaac Sim, or MuJoCo) for reinforcement learning and sim-to-real transfer
Deep practical knowledge of imitation learning (including diffusion policies), deep RL, and hybrid learning approaches on real robot hardware
Experience with data pipelines for heterogeneous, high-frequency sensor data: teleoperation, tactile, vision, depth, and robot state
Strong Python and C++, with experience in ROS2 and embedded or real-time systems
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)
Skills Required
- 6+ years in computer science or related engineering field with experience delivering AI systems on physical robotic hardware
- Hands-on experience leading or co-leading multimodal manipulation systems combining vision, language, tactile, and proprioceptive inputs
- Proven track record building simulation infrastructure (Isaac Lab/Isaac Sim or MuJoCo) for reinforcement learning and sim-to-real transfer
- Deep practical knowledge of imitation learning (including diffusion policies), deep RL, and hybrid learning approaches on real robot hardware
- Experience with data pipelines for heterogeneous, high-frequency sensor data (teleoperation, tactile, vision, depth, robot state)
- Strong Python and C++ skills
- Experience with ROS2 and embedded or real-time systems
- Experience with high-DOF, tendon-driven, or tactile-heavy dexterous hands
- Familiarity with vision-language-action (VLA) architectures and large-scale pre-training workflows
- Contributions to the robotics or AI research community (ICRA, IROS, CoRL, NeurIPS)
What We Do
NEURA Robotics is a German high-tech company founded in 2019 in Metzingen near Stuttgart with the vision to revolutionize the world of robotics. More than 180 team members from over 30 countries are working on advanced technologies in the fields of environmental perception, drive and control technology, material science, mechanical design, and artificial intelligence. We are expanding the cognitive capabilities of robots and make breakthrough advances in a variety of areas to bring robots and humans closer together, making many areas of work more attractive, creative, and social again. That's why everything we do runs under the guiding principle "we serve humanity". In a very short period of time, NEURA Robotics has developed robots and technologies that are characterized above all by their outstanding performance as well as safe and human-centred way of working. In this way, a wide variety of application fields can be covered, from intelligent production to medical technology. All major robot components are developed and designed in-house. Imprint: https://www.neura-robotics.com/legal Privacy: https://www.neura-robotics.com/privacy
