VLA/WAM Integration & Deployment Engineer

Flexion; Zürich; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

Relocation sponsorship

Enhanced pension plan

Office in Zürich with robotics testing

Open collaboration and research-expose

Zusammenfassung

Flexion in Zürich is seeking a VLA/WAM Integration and Deployment Specialist to turn VLA and World-Action Model research into reliable capabilities on real humanoid robots.

You will deploy across multiple platforms, optimize inference, and collect real-world data while collaborating with engineering teams to improve end-to-end autonomous systems.

Qualifikationen

• Strong Python and PyTorch skills with experience in modern DL systems.
• Proven experience deploying learning-based models in robotics or real-time embodied systems.
• Familiarity with VLA, VLM, diffusion, flow-matching, or related multimodal architectures.
• Ability to evaluate and diagnose failures in learned systems; comfortable with hardware.

Aufgaben

• Deploy and validate policies across humanoid platforms and tasks.
• Optimize model serving latency and real-time control.
• Integrate VLA/WAM with higher-level agents for planning and recovery.
• Develop in-situ data collection workflows for teleoperation and rollouts.
• Create reproducible real-robot evaluations and regression suites.
• Turn real-world outcomes into training data to improve models.

Kenntnisse

Python

PyTorch

Robotics deployment

Inference optimization

System diagnostics

Evaluation design

Tools

TensorRT

Torch.compile

Quantization

Model compression

Data pipelines

Jobbeschreibung

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.

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