pythonmachine learningpytorchcomputer visionreinforcement learningroboticsmodel fine tuningimitation learningphysical airobot hardware
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в быстро развивающейся робототехнике и AI даёт возможность вести внедрение от модели до робота, но частые поездки и работа на месте серьёзно влияют на образ жизни.
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Текст:
Hirify AI/Оригинал
TL;DR
Physical AI Engineer (Robotics) (Physical AI/Robotics): Developing cognitive robotics applications for customer robots through the NeuraGym pipeline with an accent on model fine-tuning, real-time deployment, and hands-on robot integration. Focus on building evaluation and reliability systems, troubleshooting model and machine behavior on site, and enabling customers to operate robotic intelligence in production.
Location: Aachen, Germany; onsite. Frequent travel to customer sites and NeuraGyms is required, approximately 40–60%.
Company
hirify.global develops cognitive robotics platforms, including MAiRA, MiPA, LARA, and humanoid robots.
What you will do
Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform, owning outcomes on customer robots.
Execute the NeuraGym pipeline, including teleoperation, data annotation, training, simulation, deployment, and validation.
Deploy policies for real-time closed-loop control through distillation, quantization, action chunking, latency optimization, and on-device or edge inference.
Act as the primary technical contact for customers, supporting adoption from kickoff through handover and enabling customer teams to train colleagues.
Work hands-on with robot hardware, sensors, end-effectors, tool changers, calibration, electrical interfaces, fieldbus systems, and functional safety.
Build evaluation harnesses, success-rate benchmarks, and regression tests, while feeding customer and field insights into the NeuraGym and core AI roadmaps.
Requirements
Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
Hands-on machine-learning experience in robotics, with strong expertise in at least one of vision-based manipulation, reinforcement or imitation learning, or multimodal models.
Experience fine-tuning large pretrained models for robotics or another domain, including PEFT/LoRA or full fine-tuning, dataset curation, distillation, and evaluation.
Solid Python skills and practical experience with PyTorch or TensorFlow; C++ is an additional advantage.
Proven experience in customer-facing technical roles, including managing several customers in parallel.
Understanding of robot hardware, including drives, joint modules, torque sensing, encoders, end-effectors, sensor integration, calibration, electrical and fieldbus interfaces such as EtherCAT, and functional safety concepts.
Proven problem-solving skills, ability to manage multiple projects in parallel, strong execution focus, and personal commitment to deployment outcomes.
Clear communication skills for translating between researchers, engineers, and end-users.
Good command of English and German at B2–C1 level.
Willingness to travel frequently to customer sites and NeuraGyms, approximately 40–60%.
Nice to have
Familiarity with the open VLA and policy-learning ecosystem, including π0/π0.5, OpenVLA, LeRobot, and diffusion policies.
C++ experience.
Culture & Benefits
Full-time, onsite work in Aachen, Germany.
Hands-on collaboration with multidisciplinary Cloud, AI, and robotics engineering teams.
Direct customer interaction and field-based deployment work.
Frequent travel to customer sites and NeuraGyms, approximately 40–60%.
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