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Almetra

Edge AI vision analytics for manufacturing

Staff Robotics Engineer - Physical AI

Robotics & Autonomous SystemsPosted on Nov 13
Full-timeBerlin, GermanyIn-person

About the Job

Requirements

  • A Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field, with a strong emphasis on robotics.
  • A minimum of 1–2 years of experience in robotics research or development.
  • Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.
  • Hands-on experience with machine learning techniques applied to robotic manipulation tasks.
  • Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.
  • Strong programming skills in C++ and Python, and familiarity with ROS (Robot Operating System).
  • Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, and CUDA for robotic manipulation.
  • Proficiency with machine learning libraries such as TensorFlow or PyTorch.
  • Fluency in English is mandatory.

Responsibilities

  • Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
  • Work with industry-standard hardware platforms, such as ROS-compatible robots and specific sensor suites, to develop and deploy robotic manipulators for real-world testing.
  • Develop and implement models for hybrid dynamical systems exhibiting continuous and discrete dynamic behaviors, specifically in robotic manipulators.
  • Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.
  • Apply supervised learning, unsupervised learning, and reinforcement learning techniques to improve robotic manipulation performance.
  • Train reinforcement-learning models in simulated and real-world environments with continuous action and state spaces.
  • Design and develop middleware and software solutions tailored to robotic manipulation applications.
  • Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.
  • Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid manipulation tasks.
  • Use deep learning techniques for end-to-end and self-supervised grasping to enhance autonomous robotic manipulation.
  • Integrate tactile sensors, force sensors, vision systems such as RGB-D cameras, and depth sensors; optimize communication protocols and data flow for efficient robotic operations.

About the Company

Almetra

Edge AI vision analytics for manufacturing

Almetra equips production lines with AI cameras to convert shop-floor video into real-time data, including cycle times, output, utilization, and micro-stoppages. Processing happens at the edge with privacy-by-design anonymisation, and the system links vision analytics with MES/PLC/ERP context to produce actionable insights rather than just dashboards. By combining line-level analytics with input from continuous-improvement engineers, it helps factories diagnose root causes of productivity losses and drive improvements. The goal is to scale the product and expand into the US, supported by funding such as the June 2026 Series A led by blisce/.

Company size
51-200
Company stage
Series A
Total funding
$22.4M
Headquarters
Berlin, Germany
Founded
2022

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