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Revel Robotics

Builds data infrastructure for humanoid robots

RAI Robotics Integration & Deployment Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timePrague, CzechiaNo salary listed

About the Job

Requirements

  • Three or more 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, with enough depth to reason about what the simulator computes.
  • Use Python and apply knowledge of rigid-body interactions, contact modeling, and actuator behavior.
  • Calibrate a simulator against real hardware and match simulated behavior to measured behavior.
  • Deploy policies from simulation onto real robots using techniques such as domain or dynamics randomization, and understand typical transfer failures.

Desired Qualifications

  • Experience connecting perception, learned policies, motion planning, and control into complete robotic systems.
  • Experience deploying VLAs, Diffusion Policies, Transformers, or reinforcement learning 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 data infrastructure for humanoid robots

REVEL Robotics builds a data infrastructure and hardware stack to train humanoid robots for real-world tasks. It creates high-fidelity digital twins from partner manufacturers’ tools and appliances and uses NVIDIA Isaac Sim to run large-scale, domain-randomized simulations; its Neural Gambit wearable captures force, dexterity, and intent to train its RAi model and robotic hands. Unlike general robotics vendors, it focuses on translating human skill into scalable machine capability by pairing data, software, and hardware for B2B access to robotics developers. Its goal is to alleviate skilled-labor shortages in manufacturing, skilled trades, and logistics by teaching robots practical, real-world tasks through embodied AI.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2025

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