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ANAnalog Devices, Inc.

Staff Robotics Simulation Engineer, AI/ML Software(m/w/x)

München
VollzeitVor OrtSenior
AI/ML

Developing custom sensor models for AI/ML robotics simulation using USD and FEA tools. 6+ years robotics simulation experience required. Work with Ansys, Comsol, or Abaqus for mechanical behavior analysis.

Anforderungen

  • Ph.D. or M.S. in Robotics, Mechanical Engineering, Computer Science, Physics, or related field
  • 6+ years of robotics simulation, sensor modelling, or mechanical validation experience
  • Deep expertise in simulation platforms (e.g., Isaac Sim, Gazebo) and sensor modelling
  • Strong proficiency in Python, C++, and software development best practices
  • Hands-on experience with FEA tools (e.g., Ansys, Comsol, Abaqus)
  • Experience with advanced ML frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries
  • Proven track record of integrating simulation with real-world robotic systems
  • Experience with synthetic data generation and validation against physical benchmarks
  • Solid understanding of sim-to-real challenges and mitigation strategies
  • Experience implementing custom finite element solvers or contributing to open-source simulation frameworks
  • Familiarity with sensor hardware design, calibration, and signal processing
  • Publications or project experience in physics-informed machine learning or mechanical simulation
  • Experience with reinforcement learning (RL) and safe deployment of RL agents on physical robots
  • Proven ability to deliver simulation-driven workflows for AI model training, system validation, or perception testing

Aufgaben

  • Design and implement custom sensor models
  • Leverage USD for integration in simulation platforms
  • Apply numerical simulation techniques for mechanical behavior
  • Use Ansys, Comsol, or Abaqus for stress and deformation simulation
  • Close the sim-to-real gap through domain randomization
  • Model noise and apply physics-based constraints
  • Validate simulation outputs against real-world data
  • Generate high-quality synthetic datasets for AI training
  • Develop workflows for perception and control models
  • Integrate simulation outputs into ML training pipelines
  • Collaborate on physics-informed machine learning
  • Oversee on-site testing and validation
  • Ensure simulation fidelity and real-world performance
  • Stay current with robotics simulation advancements
  • Mentor junior engineers
  • Guide adoption of innovative simulation techniques

Berufserfahrung

  • 6 Jahre

Ausbildung

  • Doktor / Ph.D.

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • Isaac Sim
  • Gazebo
  • Python
  • C++
  • Ansys
  • Comsol
  • Abaqus
  • PyTorch
  • TensorFlow
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Analog Devices, Inc. erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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