Flexion Robotics
Applied RL Engineer(m/w/x)
Full-timeOn-siteExperienced
Zürich
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FLFlexion Robotics
Robotics Engineer - Modeling & Sim-to-Real Transfer(m/w/x)
Zürich
Full-timeOn-siteExperienced
Nejo AI Summary
Modeling and system identification for humanoid robots, characterizing physical hardware. Multi-body dynamics and C++/Python coding skills required. Energetic team, competitive compensation.
Requirements
- MSc or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or equivalent experience
- Strong background in multi-body dynamics, numerical methods, and robot physics
- Proven experience in system modeling and identification for physical systems
- Strong coding skills in C++ and Python
- Hands-on experience with modern simulators (e.g., Isaac Lab/Gym, MuJoCo, Drake)
- Hands-on experience with real robotic hardware, experiments, and system-level debugging
- Deep knowledge of actuator dynamics (BLDC motors, gearboxes, friction models)
- Deep knowledge of sensor modeling (IMUs, LiDARs, cameras)
- Familiarity with Reinforcement Learning
- Experience with robot description formats (URDF, SDF, USD)
Tasks
- Model in-house and customer robots accurately
- Perform system identification for robots
- Characterize physical hardware sensors
- Characterize physical hardware drivetrains
- Characterize physical hardware contact dynamics
- Replicate robot behaviors in simulation
- Evaluate the sim-to-real gap
- Develop mathematical models for physical subsystems
- Model drivetrain behavior
- Model sensor behavior
- Model network behavior (latency, jitter)
- Design experiments to collect robot data
- Execute experiments to collect robot data
- Identify physical parameters using robot data
- Identify friction coefficients
- Identify inertial parameters
- Identify noise parameters
- Identify latency parameters
- Implement models into simulation infrastructure
- Benchmark simulation performance against real-world logs
- Quantify the Sim-to-Real gap
- Minimize the Sim-to-Real gap
- Collaborate with control teams
- Collaborate with perception teams
- Collaborate with hardware teams
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- Isaac Lab/Gym
- MuJoCo
- Drake
- URDF
- SDF
- USD
Benefits
Competitive Pay
- Competitive compensation
Informal Culture
- Energetic, collaborative team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FLFlexion Robotics
Robotics Engineer - Modeling & Sim-to-Real Transfer(m/w/x)
Zürich
Full-timeOn-siteExperienced
Nejo AI Summary
Modeling and system identification for humanoid robots, characterizing physical hardware. Multi-body dynamics and C++/Python coding skills required. Energetic team, competitive compensation.
Requirements
- MSc or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or equivalent experience
- Strong background in multi-body dynamics, numerical methods, and robot physics
- Proven experience in system modeling and identification for physical systems
- Strong coding skills in C++ and Python
- Hands-on experience with modern simulators (e.g., Isaac Lab/Gym, MuJoCo, Drake)
- Hands-on experience with real robotic hardware, experiments, and system-level debugging
- Deep knowledge of actuator dynamics (BLDC motors, gearboxes, friction models)
- Deep knowledge of sensor modeling (IMUs, LiDARs, cameras)
- Familiarity with Reinforcement Learning
- Experience with robot description formats (URDF, SDF, USD)
Tasks
- Model in-house and customer robots accurately
- Perform system identification for robots
- Characterize physical hardware sensors
- Characterize physical hardware drivetrains
- Characterize physical hardware contact dynamics
- Replicate robot behaviors in simulation
- Evaluate the sim-to-real gap
- Develop mathematical models for physical subsystems
- Model drivetrain behavior
- Model sensor behavior
- Model network behavior (latency, jitter)
- Design experiments to collect robot data
- Execute experiments to collect robot data
- Identify physical parameters using robot data
- Identify friction coefficients
- Identify inertial parameters
- Identify noise parameters
- Identify latency parameters
- Implement models into simulation infrastructure
- Benchmark simulation performance against real-world logs
- Quantify the Sim-to-Real gap
- Minimize the Sim-to-Real gap
- Collaborate with control teams
- Collaborate with perception teams
- Collaborate with hardware teams
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- Isaac Lab/Gym
- MuJoCo
- Drake
- URDF
- SDF
- USD
Benefits
Competitive Pay
- Competitive compensation
Informal Culture
- Energetic, collaborative team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Flexion Robotics
Industry
Engineering
Description
Flexion builds the intelligence layer for next-gen humanoid robots, accelerating their real-world deployment.
Not a perfect match?
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