ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team (AWS)

Overview

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Utility Computing (UC) — AWS UC provides product innovations from foundational services such as S3 and EC2 to new features that differentiate AWS services. Annapurna Labs (within AWS UC) designs silicon and software that accelerates innovation, with custom chips, accelerators, and software stacks to tackle challenging technical problems at scale.

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 machine learning inference datacenter server. We’re looking for an ASIC Design Engineer to help trail-blaze new technologies and architectures while ensuring high design quality and making the right trade-offs.

Key responsibilities

• Integrate multiple subsystems into the top-level SOC, ensuring correct clock/reset/functional/DFT signal routing.
• Implement and deliver high-performance, area- and power-efficient RTL to meet 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 designs with constraints.
• Perform lint and clock domain crossing quality checks on the design.
• Collaborate with architects, designers, verification teams, pre-/post-silicon validation teams, synthesis, timing, and back-end teams to accomplish tasks.

You will thrive in this role if you

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

About the team

Our team is dedicated to supporting new members with a broad mix of experience levels and tenures. We celebrate knowledge-sharing and mentorship. Senior members provide one-on-one mentoring and thorough, but kind, code reviews. We focus on career growth and assign projects that help team members develop engineering expertise to take on more complex tasks in the future.

Basic Qualifications

- BS degree in electrical engineering or equivalent
- 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 in electrical engineering, computer engineering, or equivalent
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience with microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data-path design, interconnects, AXI protocol
- Good analytical, problem-solving, and communication skills

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

Los Angeles County applicants: job duties for this position include working safely and cooperatively with others, adhering to standards of excellence under stressful conditions, and complying with all applicable laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some duties. Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding, please visit 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 $129,800/year to $212,800/year, depending on location, knowledge, skills, and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: October 30, 2025 (Updated about 11 hours ago)

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