
Expert Humanoid Robotics Developer
Há 2 dias
Are you passionate about developing cutting-edge humanoid robotics? Do you want to work on a challenging project that involves designing, training, and deploying advanced robotics systems?
This role is perfect for individuals who are highly skilled in machine learning, robotics, and programming. You will be part of a team that works on the full development cycle of humanoid robotics, from simulation environment design to deployment on physical robots.
- Job Responsibilities:
- Design and develop humanoid robotics tasks and environments.
- Train and refine policies using reinforcement learning and imitation learning algorithms.
- Close the Sim2Real gap through domain randomization, calibration, and staged deployment on the humanoid platform.
- Integrate with robotics ecosystem including ROS 2 and NVIDIA's robotics stack.
- 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.
- Technical Skills:
- Strong background in machine learning and deep learning.
- Experience with reinforcement learning and imitation learning algorithms.
- Proficiency in programming languages such as Python and C++.
- Familiarity with robotics frameworks such as ROS 2 and NVIDIA's robotics stack.
- Work Environment:
- Collaborative and dynamic work environment.
- Opportunity to work with a talented team of engineers and researchers.
- Professional Development:
- Chance to learn and grow with the company.
- Opportunities for career advancement and professional development.
- Recognition and Rewards:
- Recognition for outstanding performance and contributions.
- Competitive salary and benefits package.
- Location:
- Based in São Paulo, Brazil.
- Work Model:
- Hybrid role with a mix of remote work and lab-based work.
- Recruiting Process:
- Challenge: Technical challenge to demonstrate skills in robotics, simulation, and machine learning.
- Technical interview.
- Cultural interview.
-
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