About the job
About Flexion Robotics
At Flexion Robotics, we are at the forefront of developing the intelligence framework that will drive the next generation of humanoid robots. Our mission is to expedite the transition from fragile prototypes to fully operational humanoid systems. Founded by top-tier scientists specializing in robot reinforcement learning from esteemed institutions such as Nvidia and ETH Zürich, and supported by premier international venture capital firms, we have rapidly progressed from our initial code to the deployment of real-world humanoid functionalities.
The Role
We are seeking a talented Robotics Engineer to bridge the gap between simulation and practical application. As we transition learned control policies to physical hardware, the accuracy of our simulations becomes vital to our success.
Your focus will be on precise modeling and system identification of both in-house and client robots. You will interact directly with physical hardware to analyze sensors, drivetrains, and contact dynamics, ensuring accurate replication of these characteristics within our simulation environment while assessing the sim-to-real gap.
This interdisciplinary role will have you collaborating closely with our control, perception, and hardware teams to enhance the performance of our solutions.
Key Responsibilities
- High-Fidelity Modeling: Create mathematical models for physical subsystems, including drivetrains, sensors, and network behaviors (latency, jitter).
- System Identification: Design and implement experiments to gather robot data and utilize it to determine physical parameters (friction coefficients, inertial parameters, noise, latency).
- Simulation Implementation: Integrate these models into our advanced simulation framework.
- Validation & Verification: Continuously benchmark simulation outcomes against real-world data to quantify and reduce the
