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

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

Utility Computing (UC). AWS 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 cloud services.

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. 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.

About AWS : Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work / Life Balance and Inclusive Team Culture : AWS values diverse experiences and strives for flexibility in our working culture. Our employee-led affinity groups foster a culture of inclusion, and ongoing events and learning experiences support diversity and growth. We are committed to mentorship, knowledge-sharing, and career development.

Custom SoCs 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. We handle 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.

Key responsibilities

• Integrate multiple subsystems into top-level SOC; ensure 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.
• Collaborate with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing, and back-end teams to accomplish tasks.

You will thrive in this role if you

About the team

Custom SoCs 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.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members provide one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop engineering expertise so you feel empowered to take on more complex tasks in the future.

Basic Qualifications

Preferred Qualifications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We will consider qualified applicants with arrest and conviction records where legally permissible. Our accommodation process for applicants with disabilities is available at https : / / amazon.jobs / content / en / how-we-hire / accommodations.

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, please visit the accommodations page 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 ranges from $143,300 / year to $247,600 / year, with variations based on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company; additional compensation such as equity or sign-on may be provided as part of a total package. For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits.

Note : This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted : October 21, 2025

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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.

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