Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team

Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team Annapurna Labs (U.S.) Inc. - 3.4 Tempe, AZ Job Details Full-time $208,300 - $281,800 a year 3 hours ago Benefits AD&D insurance Health insurance Dental insurance Flexible spending account RSU Paid time off Adoption assistance Parental leave Employee assistance program Vision insurance 401(k) matching Qualifications OOP Full Job Description

DESCRIPTION

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. Diverse Experiences We value diverse experiences. Even if you do not meet all of the 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. 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. Inclusive Team Culture 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. Key job responsibilities Lead and grow a team of SOC integration engineers responsible for critical deliverables in our ML accelerator chips Drive technical decisions across multiple disciplines (RTL, timing, DFT, physical design) Ensure on-time delivery of complex SOC integration milestones Establish and maintain best practices for top-level integration, including clock/reset architecture, CDC methodology, and quality metrics Interface with various stakeholders including architecture, verification, and physical design teams You will thrive in this role if you: Have a proven track record leading SOC integration teams through successful tape-outs Excel at cross-functional leadership and can drive complex technical decisions across multiple teams Are passionate about developing engineers and implementing robust integration methodologies Have deep expertise in high-performance SOC design, including clock/reset architecture, timing closure, and CDC methodology Are data-driven and can effectively balance technical excellence with project execution About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. 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

7+ years of engineering team management experience Knowledge of SoC architecture 15+ years writing functional or performance models for SoCs, CPUs, GPUs, or ASICs Strong C++ and/or SystemC skills in large-scale OOP codebases

PREFERRED QUALIFICATIONS

Master's degree in electrical engineering, computer engineering, or equivalent Experience with ML accelerator or high-performance compute SOC development Track record of implementing and scaling SOC integration methodologies Strong background in power/performance optimization and physical design considerations Experience with modern SOC development tools and flows Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, AZ, Tempe - 208,300.00 - 281,800.00 USD annually