Lead - Dexterous Manipulation

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 deployment of humanoids.

We are seeking a Manipulation Lead to define and drive Flexion's manipulation stack, with a strong focus on learning-based dexterous control for humanoid robots.

In this role, you will own the technical direction, architecture, and delivery of manipulation capabilities, from research ideas to real-time execution on physical robots.

You will work closely with the perception, controls, and infrastructure teams, and lead the engineers working on dexterous manipulation. This is a hands‑on technical leadership role, not a purely managerial position.

• Own the full manipulation stack, from problem formulation and data collection to training, deployment, and evaluation on real robots.
• Define the technical roadmap for dexterous manipulation.
• Lead the transition from research prototypes to robust, real‑time controllers running on humanoid hardware.
• Design, implement, and deploy learning‑based manipulation controllers (e.g., diffusion‑based policies, flow matching, RL, or hybrids).
• Establish best practices for training, sim‑to‑real transfer, evaluation metrics, and debugging on hardware.
• Mentor and guide the engineers working on manipulation.
• Collaborate closely with perception, whole‑body control, and infrastructure teams to enable closed‑loop manipulation.

• PhD degree in Robotics, Machine Learning, or a related field, with significant hands‑on experience in learning‑based manipulation.
• Deep expertise in dexterous manipulation models, such as:
  • Diffusion models
  • Flow matching
  • Reinforcement learning
• Strong understanding of robot control and real‑time constraints.
• Proven experience deploying learning‑based controllers on real robotic hardware.
• Excellent proficiency in Python and PyTorch, including training large neural networks.
• Solid knowledge of transformers and modern generative models.
• Ability to take technical ownership and make high‑impact decisions in a fast‑moving environment.

• Key technical leadership role in a young, fast‑growing robotics company in Zurich.
• Direct influence on the core manipulation capabilities of next‑generation humanoid robots.
• High ownership and autonomy in shaping systems and research direction.
• Competitive compensation, including base salary and additional benefits.