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ANAnalog Devices, Inc.

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

München
Full-timeOn-siteSenior
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.

Requirements

  • 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

Tasks

  • 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

Work Experience

  • 6 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Isaac Sim
  • Gazebo
  • Python
  • C++
  • Ansys
  • Comsol
  • Abaqus
  • PyTorch
  • TensorFlow
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