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Revel Robotics

Builds data infrastructure for humanoid robots

AI Robotics Integration & Deployment Engineer

Full-TimeUpdated on 10/23/2026
No salary listed
Mid
Prague, Czechia
In PersonOn-site with the engineering team in Prague.
AI & Machine LearningRobotics & Autonomous Systems

About the job

Requirements
  • At least 3 years of relevant professional experience.
  • Experience integrating and deploying learned models or control policies on real robots.
  • Strong Python and C++ skills for robot-facing and performance-critical code.
  • Hands-on experience with ROS 2, DDS, NVIDIA Jetson, and robot hardware interfaces.
  • Experience optimizing models for real-time inference using ONNX, TensorRT, quantization, compilation, or similar tools.
  • Ability to debug timing, communication, inference, control, and hardware failures across the robotics stack, including latency, packet loss, and synchronization issues.
Responsibilities
  • Work directly with robotics physics simulators such as Isaac Sim/IsaacLab, Newton, MuJoCo, or similar, at a level sufficient to reason about simulator computations.
  • Use Python and apply knowledge of rigid-body interactions, contact modeling, and actuator behavior.
  • Calibrate simulators against real hardware by matching simulated behavior to measured behavior.
  • Help deploy policies from simulation onto real robots using techniques such as domain or dynamics randomization, and understand common simulation-to-real transfer failures.
Desired Qualifications
  • Experience connecting perception, learned policies, motion planning, and control into complete robotic systems.
  • Experience deploying VLAs, Diffusion Policies, Transformers, or RL policies.
  • Prior work with humanoids, legged robots, or highly dexterous robotic systems.
  • Familiarity with sim-to-real transfer, control theory, real-time systems, or hardware-in-the-loop testing.
  • Publications or strong open-source work in robotics, embodied AI, or machine learning systems.

About the company

REVEL Robotics builds a data infrastructure and hardware stack to train humanoid robots for real-world tasks. It creates high‑fidelity digital twins of tools and appliances from partner manufacturers and uses them in domain-randomized simulations, powered by its Neural Gambit wearable to capture human force, dexterity, and intent and train its RAi model; the company also develops an upper-body humanoid platform with dual arms, dexterous hands, and tactile sensing built on NVIDIA Isaac Sim. Unlike general robotics vendors, REVEL focuses on translating human skill into scalable machine capability through a B2B data library, simulation environment, and trained models that help other developers teach robots to use real tools. Its goal is to alleviate skilled‑labor shortages in manufacturing, skilled trades, and logistics by enabling robots to learn practical, real‑world tasks.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Palo Alto, California

Founded

2025

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Simplify's Take

What believers are saying

  • REVEL reported 35-plus team members across ten-plus countries by September 2026.
  • The company says it moved into Prague headquarters and secured a $5 million pre-seed round.
  • Public Genesis demos at IRONMAN 70.3 and NVIDIA hackathons validate early market attention.

What critics are saying

  • REVEL remains pre-seed, bootstrapped from savings, and still chases first deployments.
  • Genesis launched publicly in August 2026, but customer revenue stays undisclosed.
  • Figure and Tesla Optimus can outspend REVEL, compressing its data and hardware window.

What makes Revel Robotics unique

  • Brian Walker and Kamil Dusejovsky launched REVEL in August 2025 with full-stack robotics ambitions.
  • Neural Gambit captures human force, dexterity, and intent for training embodied AI.
  • Genesis combines upper-body humanoid hardware, RAI software, and NVIDIA Isaac Sim simulation.

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Benefits

  • Unlimited Paid Time Off
  • Conference Attendance Budget
  • Stock Options
  • Meal Benefits
  • Performance Bonus

Growth & Insights

6 month growth

-20%

1 year growth

-20%

2 year growth

-20%