Intrinsic is Alphabet's bet 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
Are you passionate about democratizing robotics and making cutting-edge technology accessible for all? We are seeking highly motivated and talented interns to join our dynamic team and contribute to the advancement of robotics in an exciting internship opportunity.
How your work moves the mission forward
- Develop and implement a dense multi-view reconstruction pipeline using posed images to generate accurate 3D ground truth for single shot reconstruction algorithms.
- Apply Deep learning based Structure from Motion (SfM) techniques to create a robust benchmark for evaluating point-cloud models.
- Analyze reconstruction quality and, if necessary, integrate and calibrate additional 3D sensors into the data collection setup to ensure high fidelity and completeness.
- Collaborate with the perception team to validate ground-truth pipelines and support the direct evaluation of advanced perception algorithms.
- Contribute to the improvement of internal data tools by establishing reliable standards for point-cloud accuracy.
Skills you will need to be successful
- Bachelor's student in Computer Science, Robotics, Computer Vision, or a related field (Master's students preferred).
- Strong proficiency in C++ and/or Python for software development and algorithm implementation.
- Experience with 3D computer vision concepts, specifically Structure from Motion (SfM), Multi-View Stereo (MVS), or photogrammetry.
- Familiarity with point cloud processing, 3D geometry, and linear algebra.
- Experience with 3D vision libraries and tools (e.g., COLMAP, Open3D, PCL, or similar).
- Enthusiasm for solving challenging problems in benchmarking, data evaluation, and perception algorithms.
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.
