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Hybrid Humanoid Robotics Engineer at Cloudwalk

Cloudwalk · São Paulo, Brazil · Hybrid

C++

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Help us build CloudWalk's ambitious R&D program around humanoid robotics. You'll own the full cycle of developing locomotion and high-level behaviors: design tasks and environments in NVIDIA IsaacLab/Sim/Gym, train policies with RL/IL, validate on simulation and deploy on our physical humanoid robot (Sim2Real).


The Robotics Division
  • We work on embodied AI and autonomous systems across various robotics platforms and applications
  • Full development cycle from simulation environment design in NVIDIA IsaacLab/Sim/Gym to deployment on physical robots
  • São Paulo lab with advanced robotics hardware including humanoids and vending machines


    • What you'll do:
  • Invent and build humanoid tasks and environments – from simple flat-ground locomotion to challenging obstacle courses
  • Train and refine policies using RSL-RL, RL-Games, Stable-Baselines3, or similar GPU-parallel RL libraries
  • Explore cutting-edge approaches – reinforcement learning, imitation learning, diffusion policies, and transformer-based approaches for continuous control
  • Close the Sim2Real gap through domain/dynamics randomization, calibration, and staged deployment on the humanoid platform in our lab
  • Integrate with robotics ecosystem – ROS 2 (ros2_control, MoveIt 2) and NVIDIA's robotics stack (Isaac ROS, cuRobo/cuMotion, NVBlox)
  • Orchestrate complex behaviors with BehaviorTree.CPP/Groot, and experiment with Isaac GR00T for high-level humanoid skill composition
  • Measure and iterate with reproducible pipelines, dashboards, and design documentation to accelerate R&D cycles


    • What you'll need:
  • Solid ML and RL foundations (PPO, SAC, TD3) with hands-on PyTorch experience
  • NVIDIA Isaac ecosystem proficiency – Isaac Sim/Isaac Lab and legacy environments (Isaac Gym, OmniIsaacGymEnvs, Orbit)
  • Strong ROS 2 skills – ros2_control, lifecycle nodes, planning and perception integration
  • Sim2Real expertise – domain randomization, dynamics tuning, and safe hardware deployment
  • Engineering best practices – version control, containerization, reproducibility, and documentation
  • Must be able to work on-site in São Paulo for regular robotics lab sessions with physical robots


    • Bonus points if you have:
  • Legged locomotion experience with humanoid control tasks (Legged Gym, ETH Zurich RSL environments)
  • MuJoCo-based RL workflows (Gymnasium, dm_control, robosuite) for algorithm prototyping and benchmarking
  • Advanced policy architectures – Diffusion/Transformer policies for robotics applications
  • NVIDIA robotics stack – GPU-accelerated planning (cuRobo, cuMotion) and Isaac ROS perception (NVBlox, VSLAM)
  • Real-time systems and mechatronics knowledge (PREEMPT_RT, C++ optimization)
  • Strong portfolio of robotics and ML projects (GitHub repos, demonstrations, research papers)


    • Work Model
  • Hybrid role – collaborate remotely but spend regular days in our robotics lab
  • Hands-on experimentation with physical humanoid robots is a core part of this job
  • Test, validate, and deploy your simulation work on real hardware in our São Paulo lab


    • Recruiting Process
  • Challenge: You'll receive a technical challenge to demonstrate your skills in robotics, simulation, and machine learning
  • Technical interview
  • Cultural interview
    • Note: If you are not willing to take an online quiz and demonstrate your technical capabilities with both simulation and physical robotics systems, do not apply.


    Diversity and inclusion:
    We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.
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