
Flexion Robotics builds an AI-driven autonomy platform that enables humanoid robots to understand instructions and perform manipulation and locomotion tasks with minimal human teleoperation. The…

Flexion Robotics builds an AI-driven autonomy platform that enables humanoid robots to understand instructions and perform manipulation and locomotion tasks with minimal human teleoperation. The…
What they do: Autonomy software stack for humanoid and industrial robots enabling manipulation and locomotion via sim-to-real RL
HQ: Zürich, Switzerland
Founding year: 2024
Notable funding: $50M Series A led by DST Global
Team signal: Founders include academics and industry researchers from ETH Zurich and robotics labs
Robot autonomy for manipulation and locomotion; sim-to-real transfer for real-world task execution
2024
Robotics Engineering
$50M
Participation from NVentures (NVIDIA's VC arm), redalpine, Prosus Ventures, and Moonfire
“Raised $50M Series A led by DST Global with participation from NVentures (NVIDIA), redalpine, Prosus Ventures, and Moonfire”
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About Flexion:
At Flexion, we’re building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable, and ambitious robotics researchers in the country, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join the first wave of US research scientists at Flexion, set the agenda together, own the problems that matter most, and deploy real solutions on real hardware. You will work directly with a world class team across two continents on challenges that have no published answers yet.
Key Responsibilities:
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PhD in Robotics, Machine Learning, or a closely related field - completed or near completion
Expert-level knowledge in:
Reinforcement learning
Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
Python and PyTorch, including training large-scale neural networks
Deep expertise in at least two areas of the following:
Diffusion models
Flow matching
Dexterous manipulation
Sim-to-real transfer and real-to-sim calibration
Whole-body control and loco-manipulation
Synthetic data generation for robot learning
Proven track record of deploying learning-based controllers on real robotic hardware
Comfort operating with high autonomy in an environment that moves faster than any lab
A genuine obsession with the problem - not just the methods