Rosendahl Nextrom GmbH
Rosendahl Nextrom GmbH
501 – 1 000 Xodimlar
AvtomobilsozlikKonsaltingLogistika
Rosendahl Nextrom GmbH ilg‘or materiallar va yuqori aniqlikdagi ishlov berish muhim bo‘lgan sohalar uchun ishlab chiqarish uskunalarini ishlab chiqadi va tayyorlaydi. Kompaniya portfeliga qo‘rg‘oshin-kislotali va litiy-ionli akkumulyatorlar ishlab chiqarish, kabel va simlarni ekstruziyalash, o‘rash va gofrirlash, shuningdek optik shisha ishlab chiqarish, tolani cho‘zish hamda optik tolali kabel tayyorlash uchun mo‘ljallangan mashinalar kiradi. Kompaniya Yevropa muhandisligini muayyan qo‘llanilish sohasiga moslashtirilgan yechimlar va mijozlar hamda hamkorlar bilan yaqindan hamkorlik qilish bilan uyg‘unlashtirib, butun dunyodagi avtomobilsozlik, sanoat, telekommunikatsiya va elektromobillik sohalaridagi mijozlarga xizmat ko‘rsatadi. 1959-yilda tashkil etilgan Rosendahl Nextrom GmbH Avstriyaning KNILL Gruppe tarkibiga kiradi.

Physical AI Research Engineer – Hybrid in Austria

Develop robot-learning systems for Rosendahl Nextrom’s industrial production technologies, spanning perception, reinforcement learning, and adaptive robotics. Apply foundation models and sim-to-real methods to help robots learn and operate flexibly in real-world environments.

Tavsif

  • Create and assess machine-learning algorithms for humanoid and industrial robots
  • Build and apply Vision-Language-Action models, multimodal transformers, and large foundation models
  • Advance robotic perception, reasoning, and decision-making capabilities
  • Research robot learning approaches including reinforcement learning, imitation learning, policy optimization, and sim-to-real transfer
  • Develop scalable data-collection and continual-learning pipelines across digital twins and physical deployments
  • Combine computer vision, reinforcement learning, imitation learning, and control systems in practical solutions
  • Train models that help robots perceive, learn, and act with human-like adaptability

Talablar

  • Master’s or PhD in robotics, computer science, machine learning, or a related discipline
  • Practical experience developing real-time robotic controllers and working directly with robotic hardware
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience using robotic platforms and simulators including MuJoCo, Isaac Sim, or PyBullet
  • Familiarity with ROS or ROS 2
  • Proficiency in Python and C++
  • Strong problem-solving, analytical, and teamwork abilities
  • Valid authorization to work in Austria
  • Willingness to relocate to the Graz–Pischelsdorf area in Austria
  • Experience with humanoid robots or dexterous manipulation is advantageous
  • Knowledge of embedded systems and edge AI deployment is advantageous
  • Familiarity with distributed and large-scale training tools is advantageous

Imtiyozlar

  • Startup-style working environment within an established global engineering company
  • Opportunity to advance robot-learning research with direct industrial applications
  • Use of advanced humanoid robotic platforms and scalable high-performance computing resources
  • International, interdisciplinary, and collaborative workplace
  • Competitive compensation package with benefits and relocation support
  • Hybrid working options
  • Chance to contribute to a highly visible greenfield project with executive backing
  • Innovation-focused environment supported by Rosendahl Nextrom’s global reach
  • Access to internal and external training, conferences, and technical mentoring

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