SLAM Software Engineer, Rivr

AI in this role

computer-vision

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose-built for safety, reliability, and the customer from day one.

Our robots require precise and real-time localization, which they achieve by utilizing onboard sensors such as IMUs, lidar, cameras and GNSS. In environments without existing maps, the robot must dynamically create a map while simultaneously localizing itself within it. As our next SLAM Engineer on a growing team, you will be an expert in laser- and camera-based localization techniques and SLAM and enhance these capabilities. You will shape our robots’ ability to navigate with pinpoint precision, and you will be part of a team focused on enabling our robots to navigate autonomously. If you are passionate about robotics and driven to innovate in SLAM and localization, we encourage you to join us in shaping the future of intelligent robotics.

Key job responsibilities
Develop state-of-the-art, online and offline localization and SLAM algorithms by fusing information from cameras, LiDARs, IMU, GNSS, and other sensors.
Design, validate, and improve algorithms on challenging real-world data.

Contribute to the dynamic mapping of the environment using data continuously gathered from ongoing robot deployments.

Assist in the creation of robust sensor calibration systems that perform reliably in complex and unpredictable environments.

Support the development of an efficient workflow to accurately capture ground truth data, and maps of deployment sites for algorithm evaluation.

Contribute to the implementation of deployment-ready code for the real robot, optimized for the robot’s computational constraints.

Create and maintain documentation and best practices to streamline knowledge sharing.

Basic qualifications

- A minimum of 3 years of industry or research experience.
- Background in computer vision, robotics or autonomous driving, with experience in areas such as 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.
- Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization.
- Ability to write production-level code in modern C++, and prototype efficiently in Python.
- Experience with deploying SLAM or localization algorithms on hardware platforms.
- Master’s degree in a relevant field such as Robotics, Machine Learning, Computer Science, or a similar discipline.

Preferred qualifications

- Experience with state of the art deep learning algorithms for SLAM and localization.
- Publications at top-tier conferences.
- Experience with ROS/ROS2.

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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.

How we rate this

SLAM Software Engineer, Rivr at Amazon rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

SLAM Software Engineer, Rivr is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in CH, Zurich.
The job was posted on October 6, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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