SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration

Amazon•Austin, TX

About The Position

As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Requirements

Bachelor's degree in Electrical Engineering or a related field
Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

Nice To Haves

Master's degree in Electrical or Communications Engineering or a related field
Experience with formal verification techniques including abstraction and end-to-end checking
Experience with ARM and various DSP ISAs
Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
Experience with industry standard tools and scripting languages (Python or Perl) for automation

Responsibilities

driving the pre-silicon hardware/software co-development for our machine learning chips
work with architecture, design and emulation teams to build new silicon functionality
write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC