SLAM / Computer Vision Intern, RIVR

Description

Embark on an exciting journey at Amazon as a Specialised Software Development Engineer! Join our cutting-edge teams working on innovative technologies that impact millions of customers worldwide.

Shape the future of autonomous systems at Amazon! Join elite teams developing cutting-edge robotics and computer vision solutions that power Prime Air drones and revolutionize warehouse automation. Work on groundbreaking projects that combine advanced perception, machine learning, and simulation to create the next generation of autonomous technologies.

Collaborate with world-class engineers and scientists to build and deploy state-of-the-art systems that push the boundaries of what's possible in robotics and computer vision. Your work will directly impact millions of customers and transform industries on a global scale
Applicants will be reviewed on a rolling basis and are matched to teams aligned with their experience plus location and availability preferences prior to interviews. Applicants will remain under consideration until we have assessed all potential team matches or finished recruiting.

Key job responsibilities
Job Description
As a SLAM Intern, you will join our team to advance the localization and mapping capabilities of our last-mile delivery robot. Your work will directly shape how our robot perceives and navigates complex urban environments from benchmarking existing approaches to prototyping novel algorithms and validating them on hardware. This role offers hands-on experience in spatial perception, algorithm development, and real-world deployment within a dynamic and collaborative environment. We are committed to finding and nurturing exceptional talent; our internships are a key pathway to recruiting outstanding graduates who can make a significant impact in our team.

Important Notice: For this position, we are only able to accept applications from citizens of Schengen Area countries. This restriction does not apply to ETHZ and EPFL students who are required to complete compulsory internships as part of their studies.
What you'll be doing
Work closely with senior engineers to integrate SLAM modules with hardware components and contribute ideas to enhance system robustness and accuracy.
Support the team in benchmarking, evaluating, and developing novel state-of-the-art localization and mapping algorithms for robotic applications.
Engage in continuous learning and gain exposure to recent developments from the SLAM and computer vision literature.

A day in the life
As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.
Your day might involve fine-tuning perception algorithms for drone navigation, developing simulation scenarios to test edge cases in warehouse robotics, or collaborating with and learning from hardware engineers to optimize software for new sensor configurations.
You'll work closely with as well as learn from roboticists, ML scientists, and systems engineers to solve complex challenges in autonomy and participate in design reviews for new robotic features.

Basic Qualifications

- At least a BSc in Computer Science, Robotics, Engineering, or equivalent discipline.
- Previous coursework or projects related to computer vision, SLAM, or 3D geometry.
- Experience with C++ and / or Python.
- Eagerness to learn and contribute in a team environment.
- Strong problem-solving and analytical skills.

Preferred Qualifications

- Proven experience implementing or extending SLAM systems.
- Exposure to state of the art dense visual SLAM or multi-view stereo approaches.
- Familiarity with sensor fusion techniques involving cameras, LiDAR, or IMUs.
- Knowledge of relevant frameworks or libraries such as OpenCV, GTSAM, Ceres, Eigen, or similar.
- Experience with ROS/ROS 2 and real-world robotic data collection.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.