VLA/WAM Integration & Deployment Engineer

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