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

About the role

Custom SoCs live at the heart of AWS Machine Learning servers. We handle massive scale and rapid integration of emergent technologies in our data centers, including AWS Inferentia, our custom-designed machine learning inference datacenter server.

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

• A strong background in ASIC design.
• Proficiency in SystemVerilog.
• Excellent analytical and problem-solving skills.
• Experience with high-performance and power-efficient designs is highly desirable.

Qualifications

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

Skills

• Familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures.
• A strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents.

Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers. We offer flexible working hours, mentorship and career growth opportunities, and comprehensive benefits including health insurance, retirement plans, and paid time off.