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Senior Robotics Algorithm Developer

Kela Technologies·Tel Aviv, Израиль·en
Не указаноПолная занятостьAI & Machine LearningDefense Technology

Develop and deploy algorithms for robots operating in real-world, unstructured environments, combining classical methods with deep learning and physical AI.

Обязанности

  • Research and develop algorithms using classical methods and deep learning.
  • Design perception, planning, localization, navigation, and control modules for unstructured environments.
  • Integrate, adapt, and fine-tune open-source physical AI foundation models.
  • Own algorithm pipelines from data and simulation through training, evaluation, and deployment.
  • Apply reinforcement learning and imitation learning to develop robust policies.
  • Build simulation environments to train and validate policies before field deployment.
  • Collaborate with systems and software engineers to connect algorithm performance with real-world outcomes.
  • Take algorithmic problems from initial investigation through field deployment.

Требования

  • Several years of hands-on algorithm development experience and the ability to independently own complex problems.
  • Strong foundations in classical algorithms and control, alongside deep expertise in modern deep learning.
  • BSc, MSc, or PhD in computer science, electrical engineering, robotics, applied mathematics, physics, or a related field.
  • A record of excellence demonstrated through academic achievement, competitive accomplishments, elite technical service, or high-impact industry work.

Будет плюсом

  • Hands-on experience with reinforcement learning or imitation learning.
  • Experience building data pipelines and simulation environments for training and evaluation.
  • Strong software engineering skills.
  • Experience integrating, fine-tuning, or deploying open-source foundation models.
  • Experience with ROS or ROS2, robotics simulators, and deep learning frameworks such as PyTorch.

Условия и преимущества

  • Work across unmanned ground vehicles, humanoids, quadrupeds, and drones.
  • Help shape physical AI approaches on a small, high-caliber team.
  • Bring algorithms to fielded robots as the team grows.

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