Intrinsic

Staff Robotics Software Engineer - Grasping

Stellenbeschreibung:

Overview

As a Staff Robotics Software Engineer and Researcher at Intrinsic, you own the end-to-end development of robust grasping and manipulation algorithms, from foundational research to global deployment. You will help shape the architecture and strategy for robots to interact with the physical world, tackling robust grasping in industrial settings. You’ll transform complex partner needs into reliable technical outcomes and work with a multidisciplinary team to deliver high-availability software for manufacturing environments. This role offers the chance to influence a production-ready robotics software stack and drive impactful industrial automation.

Verantwortungsbereiche
  • Design and implement production-ready grasping and manipulation algorithms
  • Apply cutting-edge robotics advancements to real-world industrial problems
  • Translate partner requirements into reliable technical solutions
  • Mentor junior engineers and contribute to the strategic roadmap
  • Lead the evolution of the robotics software stack for global deployment
  • Own end-to-end lifecycle from research to deployment
  • Collaborate with cross-functional teams to validate software in industrial settings
Zentrale Anforderungen
  • Master’s degree in Robotics, Computer Science, or related field
  • 8+ years of robotics experience
  • 3+ years of professional experience in robotic grasp planning
  • 2+ years leading significant technical projects from inception to deployment
  • Strong foundations in linear algebra, spatial transformations, and rigid body dynamics
  • 6+ years programming robotics software in C++ and Python with production-quality outcomes
  • Experience applying Machine Learning in an applied robotics context
  • Mentoring and leadership
  • Cross-functional collaboration
  • Problem-solving mindset
  • Robotic grasp planning
  • C++
  • Python
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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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