ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration

About the role

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.

Responsibilities

• Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets
• Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements
• Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints
• Execute lint and clock domain crossing quality checks to ensure design integrity
• Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts

Requirements

• Strong background in ASIC design
• Proficiency in SystemVerilog
• Excellent analytical and problem-solving skills

Qualifications

• Bachelor's degree or equivalent
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Preferred Qualifications

• Master's degree in computer science or equivalent
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Benefits

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 here.

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, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at here.