6 hours ago
Munich, GermanyMid Level
Responsibilities
- Design, implement, and maintain efficient, production-ready algorithms for robotic grasping.
- Apply robotics advancements to practical industrial manufacturing problems.
- Translate complex partner requirements into reliable, functional, and scalable technical outcomes.
- Improve the core robotics software framework and maintain high code quality and system reliability.
- Test, deploy, iterate on, integrate, and validate robotics solutions using physical robot hardware.
- Contribute to the launch of industrial robotics products.
Requirements
- Master’s degree in Robotics, Computer Science, or a related field.
- At least 2 years of professional robotics experience.
- Exceptional programming skills in C++ and Python, with experience writing clean, efficient, production-quality software.
- Strong foundations in linear algebra, spatial transformations, kinematics, and rigid body dynamics.
- Direct experience testing, deploying, and iterating on physical robot hardware.
- Preferred: PhD in Robotics or a related field focused on motion planning, controls, or grasping.
- Preferred: Exposure to or interest in robotic grasping and manipulation projects.
- Preferred: Experience across the robotics stack, including kinematics, motion generation, system integration, and testing.
Benefits
- Base salary of €106,000–€108,650, plus a 15% bonus, equity, and benefits.
- Full-time position.
- The recruiter will provide the specific salary range for the targeted location during the hiring process.
About Intrinsic
Intrinsic builds AI-driven robotics software that helps manufacturers and automation developers program and deploy industrial robots more easily. Its platform emphasizes perception and pose estimation and includes Flowstate, a product for creating flexible automation workflows. Founded in 2021 and headquartered in Mountain View, California, Intrinsic operates as a Google-owned company and focuses on software tools, simulation, and developer-facing interfaces for industrial automation use cases.