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

Amazon
Austin, TX, USA2026-09-01ONSITE

About the job

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.

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

Qualifications

Minimum

• 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

• 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