Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs; AWS

Overview

Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Annapurna Labs, an 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.

• Integrate multiple subsystems into top‑level SOC, ensuring correct clock/reset/functional/DFT signal routing.
• As a key member of the ASIC design team, implement and deliver high‑performance, area‑ and power‑efficient RTL to achieve design targets and specifications.
• Analyze design, microarchitecture, or architecture to make trade‑offs based on features, power, performance or area requirements.
• Develop micro‑architecture, implement System Verilog RTL, and deliver synthesis/timing‑clean design with constraints.
• Perform lint and clock domain crossing quality checks on the design.
• Work with architects, other designers, verification teams, pre‑ and post‑silicon validation teams, synthesis, timing and back‑end teams to accomplish your tasks.

• Familiarity with scripting in Python.
• Proficiency with assertions.
• Strong debug skills to analyze RTL test failures.
• A "Learn and Be Curious" mindset.

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.

• Bachelor's degree in Electrical Engineering or a related field.
• 5+ years in RTL design for SOC.
• 5+ years of VLSI engineering.
• 5+ years with code quality tools including:
  Spyglass, Lint, or CDC.

• Master's degree or Ph.D. in Electrical Engineering or related field.
• Experience scripting for automation (e.g., Python, Perl, Ruby).
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities.
• Experience with Microarchitecture, System Verilog RTL, Assertions, SDC constraints.
• Familiarity with data path design, interconnects, AXI protocol.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  . This position will remain posted until filled. Applicants should apply via our internal or external career site.