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AI Engineer

Foundation Robotics Labs Inc.

München

Vor Ort

EUR 70.000 - 90.000

Vollzeit

Vor 15 Tagen

Zusammenfassung

A robotics development company in Munich is hiring a software engineer to integrate machine learning models in robotics. You'll develop perception and control models, write scalable Python code, and collaborate with teams to deploy advanced robotics solutions. Strong experience in Python, ROS2, and machine learning is required. This role may require travel to customer sites and the headquarters in the US.

Qualifikationen

  • Very strong software-engineering background in robotics.
  • Strong background in machine learning for vision and control.
  • Comfort integrating machine learning into control systems.

Aufgaben

  • Develop software-engineering solutions for integrating machine-learning models.
  • Collaborate with cross-functional teams to bring ML-driven robotics to life.
  • Write high-quality code in Python using ML frameworks.

Kenntnisse

Software engineering
Machine learning
Robotics
Python
ROS2
Perception systems

Ausbildung

MSc or PhD in Machine Learning or related

Tools

PyTorch
JAX
Isaac Sim
MuJoCo
Jobbeschreibung
About Us

Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. We are on the lookout for extraordinary engineers and scientists to join our team. All positions are based in San Francisco or Munich.

Our Culture

We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here.

Who should join :

  • You like working in person with a team in Munich, Germany.
  • You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
  • You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.
  • You care about aesthetics and design inside out. If it is not the best product ever, it bothers you, and you need to “fix” it.
  • You don\'t need someone to motivate you nor give you tasks; you get things done.
Why We Are Hiring for This Role
  • Develop software-engineering solutions for the integration of machine-learning models in robotics environments
  • Develop intelligent perception and control models using VLMs, transformers, CNNs, RNNs, and RL to power robotic behaviors
  • Fine-tune and adapt modern pre-trained models for robotic vision, policy learning, etc.
  • Use large-scale pre-trained networks to develop robust, generalizable ML pipelines
  • Integrate ML with real-time control, combining traditional robotics methods with learned components
  • Use simulation environments like Isaac Sim and MuJoCo to prototype and evaluate models prior to real-world deployment
  • Close the sim-to-real gap
  • Collaborate cross-functionally with controls, perception, systems, and hardware teams to bring ML-driven robotics to life
  • Write high-quality, scalable code in Python using ML frameworks like PyTorch and JAX; contribute to shared tooling and research infrastructure
What Kind of Person We Are Looking For
  • Very strong software-engineering background in robotics
  • Very strong experience using ROS2
  • Strong background in machine learning for vision and control
  • Deep experience with Python, PyTorch, and / or JAX; comfortable debugging, optimizing, and scaling ML systems
  • Experience with simulators like Isaac Sim or MuJoCo for training and testing robotics pipelines
  • Comfort integrating ML into control systems, including hybrid and end-to-end approaches
  • MSc or PhD in Machine Learning, Robotics, Computer Science, or related field—or equivalent practical experience
  • Willingness to travel to customer sites as well as to US HQ
Nice to Have
  • Prior experience deploying pre-trained models in embedded or edge environments
  • Familiarity with reinforcement learning in robotics applications
  • Interest in active perception, multi-agent robotics, or HRI (human–robot interaction)
  • Contributions to open-source robotics and publications
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