Ethernet Validation Engineer

- Bachelor's degree in electrical engineering, computer engineering, or equivalent
- 5+ years of hands-on hardware validation experience.
- 3+ years of demonstrated experience with high-speed Ethernet or SerDes validation and debug.
- Working knowledge of Python scripting and Linux environments
- Demonstrated expertise with high-speed Ethernet protocols, SerDes architecture, physical layer implementation, and high-speed interfaces, including validation and debug techniques.​
- Proficiency with operating systems, boot loaders, networking, and remote debugging.
- Hands-on lab experience with racks, cabling, interconnects, and physical server infrastructure.

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AWS runs one of the largest cloud networks on the planet — and our custom chips are at its core. Annapurna Labs designs the silicon that powers EC2, EBS, and our networking backbone. As an Ethernet Validation Engineer, you'll own the validation strategy for high-speed Ethernet (400G/800G+) on our next-generation ASICs, ensuring they perform flawlessly before reaching millions of customers.

In this role you will set the validation strategy for HS-Ethernet, ensure the design worked well, and drive complex system debugs involving HW, FW and SW components. You will provide leadership, by driving the teams around you to raise the bar and deliver higher quality products on behalf of Amazon customers. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of AWS products and services. We are transforming an industry, and we are looking for individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
- Own new products’ validation strategies for high-speed Ethernet interfaces and leading their execution
- Support ongoing validation and integration of new products
- Provide Annapurna Labs’ ASIC design, SW development, QA and architecture teams information and requirements from validation perspectives