Amazon Sr Manager ASIC Cloud-Scale Machine Learning Acceleration team 

United States, Texas, Austin 

883371798

Utility Computing (UC)
About AWS
Diverse Experiences
AWS values 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 BalanceMentorship & 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.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.
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 metricsYou will thrive in this role if you:
- Have a proven track record leading SOC integration teams through successful tape-outs
- 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 executionAbout 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.

- 10+ years of relevant industry experience with 3+ years in people management
- Deep technical expertise in SOC integration and methodology
- Track record of successful tape-outs in leading edge nodes
- Strong cross-functional leadership skills

- 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
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills