Staff Robotics Software Engineer - Grasping

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.

How your work moves the mission forward

Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.

Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems

Transform complex partner requirements into highly reliable and functional technical outcomes.

Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.

Skills you will need to be successful

Master’s degree in Robotics, Computer Science, or a related field, with 8+ years of experience in robotics.

3+ years of professional experience in robotic grasp planning.

2 years of leading substantial, ambiguous technical projects from inception to deployment

Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.

6 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.

Experience Machine Learning in applied robotics context

Skills that will differentiate your candidacy

PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field with a focus on robotic manipulation, grasp planning, or motion planning.

ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.

Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing.

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.