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1 день назад

Physical AI Engineer (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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