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Amazon · CH, Zurich

# SLAM / Computer Vision Intern, RIVR

CH, Zurich Early career 

Listed on Amazon’s official careers site. Posted November 3, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10595274/slam-computer-vision-intern-rivr)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / SLAM / Computer Vision Intern, RIVR

## Job 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.

## At a glance
- Posted by the employer: Nov 3, 2026
- First seen by OpenNash: Nov 8, 2026
- Last checked: Nov 8, 2026
- Listed for: 5 days
- Location: CH, Zurich[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10595274/slam-computer-vision-intern-rivr)

## Hiring at Amazon
- Open jobs: 21,930
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/)

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