# VLA/WAM Integration & Deployment Engineer

> Flexion Robotics · San Francisco, United States · — · Posted 2026-11-05

**Workplace:** on_site

## Description

### **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

## Apply

[Apply at Flexion Robotics](https://apply.workable.com/flexion-robotics/j/60F67D4D1C/apply)

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