Humanoid Robotics Professional

Há 3 dias

São Paulo, São Paulo, Brasil beBeeRobotics Tempo inteiro US$100.000 - US$125.000
Job Title: Humanoid Robotics Engineer

We are seeking a skilled and ambitious robotics professional to develop cutting-edge locomotion and high-level behaviors for humanoid robots.

Key Responsibilities:
  • Design, build, and test humanoid tasks and environments in advanced simulation platforms.
  • Train and refine policies using state-of-the-art GPU-parallel RL libraries.
  • Explore innovative approaches such as reinforcement learning, imitation learning, diffusion policies, and transformer-based methods for continuous control.
  • Close the sim-to-real gap through domain/dynamics randomization, calibration, and staged deployment on humanoid platforms.
  • Integrate with robotics ecosystems, including ROS 2 and NVIDIA's robotics stack.
  • Orchestrate complex behaviors using behavior trees and experiment with high-level humanoid skill composition.
Requirements:
  • Solid foundation in machine learning and reinforcement learning (PPO, SAC, TD3) with hands-on experience in PyTorch.
  • Proficiency in NVIDIA Isaac ecosystem, including Isaac Sim, Isaac Lab, and legacy environments.
  • Strong ROS 2 skills, including ros2_control, lifecycle nodes, planning, and perception integration.
  • Sim2Real expertise, including domain randomization, dynamics tuning, and safe hardware deployment.
  • Engineering best practices, including version control, containerization, reproducibility, and documentation.
Bonus Points:
  • Legged locomotion experience with humanoid control tasks.
  • MuJoCo-based RL workflows for algorithm prototyping and benchmarking.
  • Advanced policy architectures for robotics applications.
  • NVIDIA robotics stack, including GPU-accelerated planning and Isaac ROS perception.
  • Real-time systems and mechatronics knowledge.
  • Strong portfolio of robotics and ML projects.

Note: This is a hybrid role that requires collaboration with the team remotely and spending regular days in our robotics lab. 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.

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