Robotics Field Engineer, RIVR

Amazon is hiring a Robotics Field Engineer, RIVR in Zurich, Switzerland. Level rates it ; you can apply on Level.

AI in this role

Provide tier 2 technical support, debugging, and root cause analysis for deployed physical AI wheeled-legged delivery robots.

ros2

roboticsroot-cause-analysishardware-debuggingpythonctechnical-support

RIVR, part of Amazon is a robotics team pioneering Physical AI through real-world deployment and doorstep deliveries. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn by gathering rich operational data at scale.

As we continue to grow we're searching for a Robotics experienced field engineer. As a Robotics Field Engineer at RIVR, you will be the critical link between our advanced robotics technology and real-world deployment. You will serve as Tier 2 technical support, acting as the primary interface for other Amazon teams when complex issues arise in the field. This role is designed for a technical problem-solver who excels at Root Cause Analysis (RCA) and enjoys the challenge of debugging hardware and software in live environments. Beyond troubleshooting, you will play a strategic role in our development cycle by providing real-world operational insights to our QA teams, ensuring our test cases reflect the unpredictable nature of the field.

Key job responsibilities
Serve as the Tier 2 technical escalation point for field operations, interfacing directly with Amazon last-mile teams to resolve complex system issues.

Perform deep-dive Root Cause Analysis (RCA) on field failures to identify whether issues stem from hardware, software, or environmental factors.

Execute debugging and perform quick technical fixes to maintain a target ratio of 1 engineer to 5 robots.

Collaborate with QA Engineers to provide real-world input for the design of full-system test cases, ensuring field edge cases are captured.

Lead the operational readiness and optimization of RIVR's deployed robots, ensuring seamless integration across diverse sites.

Develop and maintain technical documentation, troubleshooting guides, and Service & Support SOPs for Field Technicians.

Act as the technical bridge to Product and Engineering teams, translating field-identified issues and RCA insights into structured requirements for the product roadmap.

Basic qualifications

- Proven experience working with ROS2 and robotics frameworks.
- Hands-on experience troubleshooting real robot hardware and complex electromechanical systems.
- Proven ability to navigate complex codebases and robot logs to perform systematic diagnostics on sensors, connectivity, and control systems.
- Exceptional communication skills in English, with the ability to translate technical root causes into actionable feedback for non-technical stakeholders.
- Willingness to travel 50%
- A degree in Engineering (Robotics, Mechanical, Electrical), Computer Science, or a related technical field.
- Strong proficiency in C++ and/or Python for debugging and scripting.

Preferred qualifications

- Prior experience in a Tier 2 or Tier 3 support role within robotics or industrial automation
- Experience with Amazon operations or similar last-mile delivery ecosystems.
- A proactive mindset geared toward "leveling up" team technical capabilities and operational efficiency.

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.

How we rate this

Robotics Field Engineer, RIVR at Amazon rates 85 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

Robotics Field 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 8, 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

RoboticsRoot Cause AnalysisHardware DebuggingPythonCTechnical SupportRos2

Questions you could be asked

Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where root cause analysis was part of your work. What did you do?
Tell me about a project where hardware debugging was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where c was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Robotics, Root Cause Analysis, Hardware Debugging, Python, and C. 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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