VLA/WAM Integration & Deployment Engineer

Flexion Robotics; San Francisco (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Relocation sponsorship

Open PTO policy

Health, dental & vision coverage

Open/transparent culture

Descripción de la vacante

Flexion Robotics in San Francisco is seeking a VLA/WAM Integration and Deployment specialist to turn VLA and World-Action Model research into reliable capabilities on humanoid robots.

You will deploy across the full loop, optimize inference and latency, and connect policies with higher‑level agents, gathering real‑world data to drive improvements.

This hands‑on role suits someone who can blend engineering, data pipelines, and robotics hardware to deliver robust autonomous behavior.

Formación

• Strong Python and PyTorch skills with modern DL systems.
• Experience deploying learning-based models in robotics or real-time systems.
• Familiarity with VLA, VLM, diffusion, or multimodal architectures.
• Systems intuition around latency, serving, data pipelines, logging and debugging.
• Experience designing robust evaluation and diagnosing failures.
• Comfort working directly with robots and real-world hardware.
• Ability to bridge training, deployment, data, and infrastructure.

Responsabilidades

• VLA/WAM Deployment: deploy and validate policies across humanoid platforms.
• Fast Inference: optimize serving latency, action generation and closed-loop control.
• Agentic Integration: connect policies with higher-level agents and replanning.
• In‑Situ Data Collection: improvements for teleoperation, rollouts, data collection.
• Evaluation & Testing: create reproducible real-world evaluations and comparisons.
• Deployment‑to‑Training Loop: turn deployments into data for pre/post-training.

Conocimientos

Python

PyTorch

VLA/VLM

Model deployment

Robotics systems

Latency optimization

Evaluation design

Herramientas

TensorRT

torch.compile

Model compression

Descripción del empleo

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.

• 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.

• 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