Sr Manager ASIC Cloud-Scale Machine Learning Acceleration team
Sr Manager ASIC Cloud-Scale Machine Learning Acceleration team
Posted on :
09-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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 customers who require specialized security solutions for their 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 agoeven 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.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the CloudScale Machine Learning Acceleration team youll 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 worldclass server infrastructure; were handling massive scale and rapid integration of emergent technologies. Were looking for an ASIC Design Eengineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right tradeoffs.
Key job responsibilities
Lead and grow a team of SOC integration engineers responsible for critical deliverables in our ML accelerator chips
Drive technical decisions across multiple disciplines (RTL timing DFT physical design)
Ensure ontime delivery of complex SOC integration milestones
Establish and maintain best practices for toplevel integration including clock/reset architecture CDC methodology and quality metrics
Interface with various stakeholders including architecture verification and physical design teams
You will thrive in this role if you:
Have a proven track record leading SOC integration teams through successful tapeouts
Excel at crossfunctional leadership and can drive complex technical decisions across multiple teams
Are passionate about developing engineers and implementing robust integration methodologies
Have deep expertise in highperformance SOC design including clock/reset architecture timing closure and CDC methodology
Are datadriven and can effectively balance technical excellence with project
About the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the CloudScale Machine Learning Acceleration team youll 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 worldclass server infrastructure; were handling massive scale and rapid integration of emergent technologies. Were looking for an ASIC Design Eengineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right tradeoffs.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
10 years of relevant industry experience with 3 years in people management
Deep technical expertise in SOC integration and methodology
Track record of successful tapeouts in leading edge nodes
Strong crossfunctional leadership skills
Masters degree in electrical engineering computer engineering or equivalent
Experience with ML accelerator or highperformance compute SOC development
Track record of implementing and scaling SOC integration methodologies
Strong background in power/performance optimization and physical design considerations
Experience with modern SOC development tools and flows
Familiarity with data path design interconnects AXI protocol
Good analytical problem solving and communication skills
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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 customers who require specialized security solutions for their 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 agoeven 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.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the CloudScale Machine Learning Acceleration team youll 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 worldclass server infrastructure; were handling massive scale and rapid integration of emergent technologies. Were looking for an ASIC Design Eengineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right tradeoffs.
Key job responsibilities
Lead and grow a team of SOC integration engineers responsible for critical deliverables in our ML accelerator chips
Drive technical decisions across multiple disciplines (RTL timing DFT physical design)
Ensure ontime delivery of complex SOC integration milestones
Establish and maintain best practices for toplevel integration including clock/reset architecture CDC methodology and quality metrics
Interface with various stakeholders including architecture verification and physical design teams
You will thrive in this role if you:
Have a proven track record leading SOC integration teams through successful tapeouts
Excel at crossfunctional leadership and can drive complex technical decisions across multiple teams
Are passionate about developing engineers and implementing robust integration methodologies
Have deep expertise in highperformance SOC design including clock/reset architecture timing closure and CDC methodology
Are datadriven and can effectively balance technical excellence with project
About the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the CloudScale Machine Learning Acceleration team youll 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 worldclass server infrastructure; were handling massive scale and rapid integration of emergent technologies. Were looking for an ASIC Design Eengineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right tradeoffs.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
10 years of relevant industry experience with 3 years in people management
Deep technical expertise in SOC integration and methodology
Track record of successful tapeouts in leading edge nodes
Strong crossfunctional leadership skills
Masters degree in electrical engineering computer engineering or equivalent
Experience with ML accelerator or highperformance compute SOC development
Track record of implementing and scaling SOC integration methodologies
Strong background in power/performance optimization and physical design considerations
Experience with modern SOC development tools and flows
Familiarity with data path design interconnects AXI protocol
Good analytical problem solving and communication skills
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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