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.
The role
As our VLA/WAM Integration and Deployment specialist you'll turn our VLA and World-Action Model research into reliable capabilities running on real humanoid robots.
You will work across the full deployment loop: integrating foundation models with agentic systems, optimizing inference, collecting targeted real-world data, running principled evaluations, and feeding deployment experience back into training.
This is a broad, hands-on role for someone who enjoys making advanced models work as part of a complete autonomous system rather than optimizing a single research component in isolation.
Key responsibilities
- VLA/WAM Deployment: Deploy and validate learned policies across multiple humanoid platforms and real-world tasks.
- Fast Inference: Optimize model serving, latency, action generation, asynchronous execution, and closed-loop control for real-time robot operation.
- Agentic Integration: Connect VLA/WAM policies with higher-level agents for task decomposition, policy selection, structured conditioning, verification, recovery, and replanning.
- In-Situ Data Collection: Develop improved workflows for teleoperation, interventions, autonomous rollouts, failures, recoveries, and targeted post-training data collection.
- Evaluation & Testing: Develop reproducible real-robot evaluations, regression suites, failure analysis, and principled comparisons between model versions.
- Deployment-to-Training Loop: Turn real-world successes and failures into datasets and experiments that improve subsequent pre-training and post-training.
Requirements
- Strong Python and PyTorch skills and experience working with modern deep-learning systems.
- Experience deploying learning-based models in robotics, autonomous systems, or another real-time embodied setting.
- Familiarity with VLA, VLM, diffusion, flow-matching, video/world-model, or related multimodal architectures.
- Strong systems intuition around inference latency, model serving, data pipelines, logging, and debugging complex ML systems.
- Experience designing rigorous evaluation and diagnosing failures in learned systems.
- Comfort working directly with robots, sensors, data collection, and imperfect real-world hardware.
- Ability to work across model training, deployment, data, infrastructure, and integration rather than within a narrowly defined research area.
Bonus:
- Experience with agentic AI systems, tool use, hierarchical policies, planning, or closed-loop verification.
- Experience with TensorRT, torch.compile, quantization, model compression, or other inference optimization techniques.
- Experience with teleoperation, human-in-the-loop learning, autonomous data collection, or online/post-training workflows.
- Experience with humanoids, dexterous manipulation, loco-manipulation, or whole-body control.
- Familiarity with reinforcement learning, continual learning, and sim-to-real.
Benefits
- Competitive compensation
- Enhanced pension plan
- Enhanced holiday & paid leave perks
- Relocation & permit sponsorship
- Central Zürich office with top-tier robotics testing facilities and infrastructure
- Joining Europe's leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events
- Competitive Compensation
- Joining a leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events
Zurich
- Enhanced pension plan
- Relocation & permit sponsorship
- Enhanced holiday & paid leave perks
- Central Zürich office with top-tier robotics testing facilities and infrastructure
San Francisco
- 401(k) with company contributions
- Health, dental & vision coverage with the flexibility to choose your own plan
- Open PTO policy & paid company holidays
Netherlands