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

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.

• 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

• 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

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 Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

• 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 System
  
  C skills in large-scale OOP codebases

• 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.

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.

USA, AZ, Tempe -  -  USD annually