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

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 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.

Annapurna Labs (our 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.

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Key job responsibilities

• Integrate multiple subsystems into top‑level SOC, ensuring correct clock/reset/functional/DFT signal routing.
• 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 SystemVerilog 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.

You will thrive in this role if you:

• Are familiar with scripting in Python.
• Are proficient with assertions.
• Have good debug skills to analyze RTL test failures.
• Have a "Learn and Be Curious" mindset.

About 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 Engineer to help us trail‑blaze new technologies and architectures, while ensuring high design quality and making the right trade‑offs.

Basic Qualifications

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

Preferred Qualifications

• 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, SystemVerilog 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.

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