2 months ago
Responsibilities
- Design and implement robust, efficient, production-ready algorithms for robotic grasping and manipulation.
- Research and apply advances in robotics to practical industrial problems.
- Translate partner requirements into highly reliable technical outcomes.
- Own the architecture and long-term strategy for robotic interaction with the physical world.
- Integrate and validate high-availability software in complex, real-world manufacturing applications.
- Mentor junior engineers, contribute to the strategic roadmap, and drive the evolution of the robotics software stack for global deployment.
Requirements
- Master’s degree in Robotics, Computer Science, or a related field.
- 8+ years of experience in robotics.
- 3+ years of professional experience in robotic grasp planning.
- 2 years leading substantial, ambiguous technical projects from inception to deployment.
- 6 years of professional experience programming robotics software in C++ and Python.
- Strong knowledge of linear algebra, spatial transformations, and rigid body dynamics.
- Experience applying machine learning in robotics.
- Preferred: PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field focused on robotic manipulation, grasp planning, or motion planning.
- Preferred: Deep expertise with JAX, TensorFlow, or PyTorch.
- Preferred: Experience developing the full robotics stack, including kinematics, motion generation, system integration, and testing.
Categories
ML EngineeringRobotics
About Intrinsic
Intrinsic is an AI robotics group at Google. Our mission is to democratize intelligent robotics for millions more businesses, entrepreneurs, and developers. We are a multidisciplinary team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.