Dexterous Manipulation Research Engineer – VLA & 20+ DoF

Moonfire; Zürich; On-site; CHF 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Enhanced pension plan

Enhanced holiday & paid leave perks

Relocation & permit sponsorship

Central Zürich office facilities

Job summary

Flexion is building the intelligence layer for next-gen humanoid robots in Zürich. We seek a Research Engineer for Dexterous Manipulation to lead VLA model development, bridging egocentric video observations with high-DOF motor control.

You will own model architecture, integrate egocentric priors with real-time policies, and ensure robust manipulation in unstructured environments. The role focuses on scalable pre-training, foundation modeling, and generative policy design, with hands-on work on

Qualifications

• PhD or Master's in Robotics, Machine Learning, or closely related field required.
• Strong background in data-driven manipulation, egocentric vision, or foundation models.
• Experience with Humanoid or Dexterous Manipulation and contact-rich physics.
• Proficient in Python and PyTorch; capable of distributed training of large-scale models.
• Proven expertise in Diffusion Models, Flow Matching, and Transformers.
• Hands-on deployment of learning-based controllers on real robot hardware.
• Experience with RL and simulation environments (e.g., IsaacLab, MuJoCo).

Responsibilities

• Architect and implement large-scale pre-training objectives for egocentric video datasets.
• Develop multi-modal Foundation Models that fuse visual perception and language into actionable trajectories.
• Design and optimize generative action heads using Diffusion Models and Flow Matching.
• Develop algorithms to align human video representations with 20+ DoF humanoid kinematics.
• Utilize Offline RL and high-fidelity simulation for policy fine-tuning.
• Translate cutting-edge scaling laws and world models into production-ready architectures.

Skills

Python

PyTorch

Diffusion Models

Flow Matching

Transformers

Reinforcement Learning

Humanoid/Dexterous Manipulation

Distributed Training

Education

PhD or Master's in Robotics/ML or related

Tools

FSDP

NCCL

IsaacLab

MuJoCo

Job description

Flexion is building the intelligence layer for next-gen humanoid robots in Zürich. We seek a Research Engineer for Dexterous Manipulation to lead VLA model development, bridging egocentric video observations with high-DOF motor control.

You will own model architecture, integrate egocentric priors with real-time policies, and ensure robust manipulation in unstructured environments. The role focuses on scalable pre-training, foundation modeling, and generative policy design, with hands-on work on