Humanoid Robotics Engineer

OverviewHelp 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 DivisionWe work on embodied AI and autonomous systems across various robotics platforms and applicationsFull development cycle from simulation environment design in NVIDIA IsaacLab / Sim / Gym to deployment on physical robotsSão Paulo lab with advanced robotics hardware including humanoids and vending machinesWhat you\'ll doInvent and build humanoid tasks and environments – from simple flat-ground locomotion to challenging obstacle coursesTrain and refine policies using RSL-RL, RL-Games, Stable-Baselines3, or similar GPU-parallel RL librariesExplore cutting-edge approaches – reinforcement learning, imitation learning, diffusion policies, and transformer-based approaches for continuous controlClose the Sim2Real gap through domain / dynamics randomization, calibration, and staged deployment on the humanoid platform in our labIntegrate 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 compositionMeasure and iterate with reproducible pipelines, dashboards, and design documentation to accelerate R&D cyclesWhat you\'ll needSolid ML and RL foundations (PPO, SAC, TD3) with hands-on PyTorch experienceNVIDIA 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 integrationSim2Real expertise – domain randomization, dynamics tuning, and safe hardware deploymentEngineering best practices – version control, containerization, reproducibility, and documentationMust be able to work on-site in São Paulo for regular robotics lab sessions with physical robotsBonus points if you haveLegged locomotion experience with humanoid control tasks (Legged Gym, ETH Zurich RSL environments)MuJoCo-based RL workflows (Gymnasium, dm_control, robosuite) for algorithm prototyping and benchmarkingAdvanced policy architectures – Diffusion / Transformer policies for robotics applicationsNVIDIA 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 ModelHybrid role – collaborate remotely but spend regular days in our robotics labHands-on experimentation with physical humanoid robots is a core part of this jobTest, validate, and deploy your simulation work on real hardware in our São Paulo labRecruiting ProcessChallenge : You\'ll receive a technical challenge to demonstrate your skills in robotics, simulation, and machine learningTechnical interviewCultural interviewNote : 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 inclusionWe 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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