{"id":81543,"title":"Robotics Foundation Models Engineer (human)","company":"Neura Robotics","city":"München","region":"Bayern","location":"Munich / Freising, Freising, Bavaria, Germany","work_model":"onsite","employment_type":"full_time","employment":["full_time"],"roles":["embedded"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-07-03T15:40:48.256000+00:00","tools":["Python","C++","PyTorch","TensorFlow","AWS","Azure","Google Cloud","ROS"],"seniority":"unknown","years_experience_min":null,"german_requirement":"required","german_level":"B2","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.9,"method":"rules","language_badge":"German required (B2)","language_evidence":"Communication: Clear communicator who translates between researchers, engineers, and end-users. You have solid command of English and German (B2–C1 level).","requirements_snippet":null,"url":"https://jobs.ashbyhq.com/neura-robotics-gmbh/e0666c85-dcb2-4606-ac6f-56c9a58b3ccf","source":"ashby","agency":null,"description_text":"Your Mission & Challenges\n• Own the outcome on the robot: Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform — you own the outcome on the customer's robot, not just the model in the repo.\n• Execute the full pipeline: Take foundation models to production-ready robotic intelligence by executing the complete NeuraGym pipeline — teleoperation, data annotation, training, simulation, deployment, and validation — tailored to real-world robotics applications. Define the data strategy that makes a fine-tune work and own the full post-training loop including hyperparameter iteration, data mixture, LoRA, and honest evaluation.\n• Deploy to real-time control: Take policies from checkpoint to real-time closed-loop control — distillation, quantization, action chunking, latency budgets, and on-device/edge inference under the customer's cycle time and reliability requirements.\n• Master the full robotics stack: Work across NEURA OS and the control layer — real-time control, kinematics, motion planning, force/impedance control, and the safety architecture — and integrate learned policies cleanly with the low-level controller instead of treating it as a black box.\n• Hands-on system integration: Work directly on MAiRA, MiPA, LARA, and humanoid platforms alongside multidisciplinary engineering teams — end-effectors and tool changers, sensor selection and mounting, calibration, electrical and fieldbus interfaces, and the mechanical reality of the cell.\n• Enable and support customers: Guide and onboard users to NeuraGym by reviewing training pipelines and scripts, identifying data quality issues, troubleshooting model behavior, and providing hands-on support to resolve persistent blockers.\n• Cross-functional collaboration: Serve as a key interface between Cloud and AI teams, ensuring smooth collaboration, technical alignment, and efficient problem-solving across domains.\n• Build evaluation rigor: Create the eval harnesses, success-rate benchmarks, and regression tests that decide whether a policy is ready for handover — and make failure modes visible before the customer finds them.\n• Research to production: Prototype techniques from recent papers together with the research team and bring the ones that survive contact with reality into production deployments.\n• Close the feedback loop: Translate field experience and customer insights into actionable feedback for both the NeuraGym product roadmap and the NEURA core AI roadmap.\n\nWhat We Can Look Forward To\n• Your education: Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.\n• ML in robotics depth: Hands-on machine-learning experience in robotics — strong in at least one of vision-based manipulation, reinforcement/imitation learning, or multimodal models, and keen to learn the rest.\n• Fine-tuning expertise: Demonstrable experience fine-tuning large pretrained models for robotics or another domain: PEFT/LoRA and full fine-tunes, dataset curation, distillation, and evaluation. Familiarity with the open VLA and policy-learning ecosystem (e.g., π0/π0.5, OpenVLA, LeRobot, diffusion policies) is a strong plus.\n• Programming skills: Solid Python skills (C++ is a plus); practical experience with PyTorch or TensorFlow.\n• Cloud and simulation: AWS, Azure, or GCP experience and familiarity with robotic simulation tools (IsaacSim, MuJoCo, etc.) are pluses.\n• Robotics software stack: Working command of a robotics software stack beyond the model layer — robot operating systems and middleware (NEURA OS, ROS/ROS2 or comparable), real-time control, kinematics and motion planning, force/impedance control, and how a learned policy wires into a low-level controller and its safety layer.\n• Hardware literacy: Solid understanding of robot hardware — drives and joint modules, torque sensing and encoders, end-effectors, sensor integration, calibration, electrical and fieldbus interfaces (e.g., EtherCAT), and functional safety concepts — enough to distinguish a model problem from a machine problem on site.\n• Execution mindset: Proven problem-solving abilities, ability to handle multiple projects in parallel, and a strong bias toward execution and personal commitment. You take deployments personally, work through setbacks, and measure yourself by what runs at the customer.\n• Communication: Clear communicator who translates between researchers, engineers, and end-users. You have solid command of English and German (B2–C1 level).\n• Travel readiness: Willingness to travel to client sites and other NEURAGym locations","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-04T00:18:17.446406+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","C++","PyTorch","TensorFlow","AWS","Azure","Google Cloud","ROS"],"posting_language":"en","evidence":[{"language":"german","requirement":"required","quote":"Communication: Clear communicator who translates between researchers, engineers, and end-users. You have solid command of English and German (B2–C1 level).","source":"rules"},{"language":"english","requirement":"required","quote":"Communication: Clear communicator who translates between researchers, engineers, and end-users. You have solid command of English and German (B2–C1 level).","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":2275}