System Validation Engineer, System Validation Engineer

Annapurna's Machine Learning organization is dedicated to creating innovative, highly available, and cost-effective machine learning solutions for our customers. Our team has delivered Inf1, Inf2, and Trn1 instances types to our customers, lowering the cost of inference and training while minimizing downtime.

For a bit of background, Annapurna Labs was a startup company acquired by AWS in 2015. Nitro is "the heart" of AWS and runs on Annapurna accelerators. We've extended this success into Machine Learning by launching our first instance type in 2019. Our organization covers almost every hardware discipline, including silicon engineering, server design and verification, and production operations.

The validation team is at the forefront of the hardware lifecycle and supports the project at every step, from emulation, through initial bringup and validation, and even integration of customer feedback into tools and workloads. We are looking for a Software Development Engineer II to join the validation team and ensure our newest hardware will delight customers!

Key job responsibilities

Key job responsibilities

- Develop chip-level and system-level validation plans focused on customer needs

- Develop workloads and tools to enable validation, tested using emulation environments

- Execute validation plans, debug failures, and communicate with key project stakeholders

- Enable other teams to use workloads and tools for other parts of the projects such as characterization.

- Teach and share debug strategies with the larger team

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

---