Help us build CloudWalks ambitious R&D program around humanoid robotics. Youll 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 systemsacross various robotics platforms and applications
Full development cyclefrom simulation environment design in NVIDIA IsaacLab/Sim/Gym to deployment on physical robots
So Paulo lab with advanced robotics hardwareincluding humanoids and vending machines
What youll do:
Invent and build humanoid tasks and environments from simple flat-ground locomotion to challenging obstacle courses
Train and refine policiesusing 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 gapthrough domain/dynamics randomization calibration and staged deployment on the humanoid platform in our lab
Integrate with robotics ecosystem ROS 2 (ros2control MoveIt 2) and NVIDIAs robotics stack (Isaac ROS cuRobo/cuMotion NVBlox)
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 So Paulofor regular robotics lab sessions with physical robots
Bonus points if you have:
Legged locomotion experiencewith humanoid control tasks (Legged Gym ETH Zurich RSL environments)
MuJoCo-based RL workflows(Gymnasium dmcontrol 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 mechatronicsknowledge (PREEMPTRT C optimization)
Strong portfolioof 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 experimentationwith physical humanoid robots is a core part of this job
Test validate and deployyour simulation work on real hardware in our So Paulo lab
Recruiting Process
Challenge:Youll 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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