Silicon validation Engineer, Annapurna Labs Machine Learning Acceleration

Silicon Validation Engineer, Annapurna Labs Machine Learning Acceleration AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of our next generation Machine learning Training and Inference Accelerators that are deployed in AWS data centers. Key Job Responsibilities Responsible for validating the system architecture for the next gen Machine Learning Acceleration (MLA) product family using emulation/prototyping platforms. Collaborate with design, software & architecture teams and develop in-depth architecture validation plans. Focus on SW integration, Usecases, Performance, Reset and Deadlock testing. Develop methodologies and robust infrastructure for test development, execution and reporting. Execute on the validation plans, debug and meet the criteria for successful tapeout. Provide technical leadership through personal example, mentorship, and strong teamwork. About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or equivalent. 7+ years of experience in either Pre or Post silicon validation. 4+ years of experience using Emulation or FPGA prototyping platform. 5+ years experience in C/C++. Experience on Testplan development and Test Infra development. Good understanding of HW Architecture and SW stack integration. PREFERRED QUALIFICATIONS Familiarity with Design protocols such as PCIe, AXI. Familiarity with SV, C. Experience in Automation and Scripting languages. Experience developing Debug and Reporting Methodologies. Meets/exceeds Amazon’s leadership principles requirements for this role. Meets/exceeds Amazon’s functional/technical depth and complexity for this role. 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. #J-18808-Ljbffr