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Intrinsic

Robotics Software Engineer - Grasping

Munich, Germany

Location
Munich, Germany
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Engineering
Pay
€128K – €131.2K a year (read from the ad)
Posted
3 months ago

About the role

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 Robotics Software Engineer, you will develop innovative algorithms and strategies to facilitate robust grasping and manipulation in complex, real-world manufacturing environments. You will be responsible for abstracting the inherent complexity of robotic manipulation into intuitive, seamless workflows. By building a software layer that possesses a deep understanding of manufacturing tasks, you enable users to transition from design to execution without needing deep subject matter expertise. Working alongside a diverse team of roboticists and application engineers, you will integrate and validate solutions across various industrial tasks and contribute to the launch of impactful robotics products.

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.
  • Improve our robotics software framework and contribute to a reliable product.

Skills you will need to be successful

  • Master’s degree in Robotics, Computer Science, or a related field, with 5+ years of experience in robotic manipulation.
  • Strong foundation in linear algebra, spatial transformations, and rigid body dynamics.
  • Hardware Experience: Direct experience testing and iterating on physical robots.
  • 3 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.

Skills that will differentiate your candidacy

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

The base salary for this full-time position is between €128.000 - 131.200 (EUR) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.

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.

Source

Posted by Intrinsic on their own hiring page, boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 00:22 UTC; the original is the reference.

View the original ad ↗

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