Amazon Senior Electrical Engineer Robotics Ring Product Design Team 

United States, California, Sunnyvale 

912398124

Key job responsibilities
1. Lead the electrical system design and architecture for a novel Ring robotics program, ensuring optimal performance, safety, and reliability.
2. Review and validate complex system architectures, schematics, and technical documentation.4. Drive innovation in power management, motor control, sensor integration, and wireless communication for compact robotic designs.6. Conduct and lead Design Failure Mode and Effects Analysis (DFMEA) to ensure product quality and reliability.
7. Participate in rapid prototyping and testing of electrical systems.
8. Perform & present tradeoff analysis
9. Stay abreast of emerging technologies and industry trends
A day in the life
This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products' performance, quality, and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on the products success. You will be part of a growing, fast paced, and fun team working to solve complex problems.

- Experience with the project management of technical projects
- Leading cross functional teams through investigation and corrective actions.
- Experience with simulation software and best practices.
- Familiarity with safety and reliability requirements for consumer products
- Experience designing robust products with high reliability and serviceability
- Advanced debugging and failure analysis expertise
- Experience with embedded systems programming (C/C++) and microcontroller architectures
- Knowledge of computer vision and AI/ML hardware integration requirements