Mechanical Engineer, RIVR

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

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
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AI in this role

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.

Key job responsibilities
Own the end-to-end delivery of components and mechanical assemblies contributing directly to our ground breaking technology.
Apply structured engineering process techniques to identify, generate, record design concepts.
Generate creative and technically-sound solutions to complex technical problems in time, cost and specifications.
Develop and own the master 3D CAD and engineering drawings of components and assemblies along with assembly fixtures. And tooling.
Deliver parts from early concept to tool sign-off, ensuring design for manufacture and assembly (DFM/DFA) alongside CMs and tooling vendors.
Create detailed hardware documentation, assembly instructions, and testing protocols.
Collaborate cross-functionally with electrical and firmware engineers to integrate PCBAs, wire harnesses, motors, and sensors into compact structures.
Comply with industry’s best practices and actively improve internal design, review standards and engineering processes across the team.

Basic qualifications

- Master’s degree or higher in a relevant field such as Engineering, Robotics, Automotive or Aerospace.
- A minimum of five years of industry or research experience, with PhD experience applicable.
- Proficient in CAD software for mechanical design.
- Deep understanding of actuators, motors, materials, design for manufacturing, power transmission, mechanisms, and contemporary manufacturing technologies.
- Demonstrated leadership in managing teams, contractors, and relationships with OEMs/ODMs.
- Strong problem-solving skills, adept at debugging and optimizing hardware components.

Preferred qualifications

- PhD degree in Engineering, Robotics, Automotive, Aerospace or a similar discipline, or an equivalent amount of research experience.
- Familiarity with design for mass production.
- Experience in the robotic, automotive, aerospace, medical, and consumer electronics sector.
- Experience in managing a hardware team.
- Experience interfacing with control systems and integrating electronics.

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.

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How we rate this

Mechanical Engineer, RIVR at Amazon rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Read the description and count the AI tools, models and workflows it names.