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Perception

Own the perception stack — detection, tracking, 6D pose, scene understanding — that lets our humanoids read cluttered industrial environments.

Location
Aachen, Germany
Employment
Full-time
Work model
On-site

At Athenyx Robotics, we are building the intelligence stack for industrial humanoid robotics. We move robots beyond rigid automation toward adaptive, learning-based systems that hold up in real industrial environments — combining robot learning, perception and simulation with direct access to industrial use cases and data.

This role owns how our humanoids see the world: geometry, semantics, and enough context to act under clutter, occlusion and changing lighting.

The work

  • —Develop perception pipelines including detection, tracking and 6D pose estimation for real-world robotic applications.
  • —Work with modern approaches such as foundation models (VLM / VLA) to enable scene understanding and reasoning.
  • —Improve robustness and generalization of perception systems in dynamic industrial environments.
  • —Integrate perception into end-to-end robotic systems combining sensing, reasoning and action.
  • —Work with real and synthetic data to improve model performance and scalability.
  • —Support deployment, evaluation and iteration on real robotic systems.

About you

  • —Degree (Bachelor, Master or PhD) in robotics, computer vision or a related field with strong foundations in perception or machine learning.
  • —Strong programming skills in Python and experience with modern ML workflows such as training and evaluating vision models.
  • —Experience in areas such as 3D vision, pose estimation, multi-view systems or sensor fusion.
  • —Interest in real-world robotic systems and motivation to move beyond isolated models toward deployed systems.
  • —Willingness to work across the stack and contribute wherever needed in a small, fast-moving team.
  • —Experience with foundation models or multimodal learning.
  • —Familiarity with simulation and synthetic data pipelines.
  • —Exposure to robotic manipulation or system integration.
  • —Work on real robotic systems in industrial environments with direct impact on deployment practices.
  • —Close collaboration with industry partners and access to real-world use cases, data and systems.
  • —High ownership and responsibility from day one in a small, highly capable, execution-focused team.
  • —Flexible working hours and open, collaborative culture with strong focus on building and learning.
  • —Opportunity to help shape a new generation of AI-driven robotics systems from the ground up.

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