Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team (AWS)

Amazon; Austin (TX); On-site; USD 208,300 - 281,800; Full time

Job summary

Amazon Annapurna Labs in Austin seeks a Sr. Manager ASIC to lead the Cloud Scale Machine Learning Acceleration Team. You will drive cross-disciplinary decisions across RTL, timing, DFT and physical design, and ensure timely delivery of complex SOC milestones.

You will mentor engineers and partner with architecture, verification and design teams to advance high-performance ASICs powering AWS ML servers, balancing technical excellence with project execution.

Qualifications

• 10+ years of equivalent experience in ASIC/SoC development.
• 3+ years of people management experience leading cross-functional teams.
• Proven track record of successful tape-outs in leading-edge nodes.

Responsibilities

• Lead and grow a team of SOC integration engineers responsible for critical deliverables in ML accelerator chips.
• Drive technical decisions across RTL, timing, DFT, physical design.
• Ensure on-time delivery of complex SOC integration milestones.
• Establish and maintain best practices for top-level integration, including clock/reset architecture, CDC methodology, and quality metrics.
• Interface with architecture, verification, and physical design teams.

Skills

Leadership

Cross-functional leadership

Mentorship

Data-driven

SOC integration expertise

Tape-out experience

Education

Master’s degree in electrical engineering or computer engineering

Tools

SOC development tools

RTL/ timing/ DFT workflow

Job description

Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team

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.

Diverse Experiences

We value 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work‑life 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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

It’s in our nature to learn and be curious. Our employee‑led 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

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

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 on‑time delivery of complex SOC integration milestones
• Establish and maintain best practices for top‑level 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 tape‑outs
• Excel at cross‑functional leadership and can drive complex technical decisions across multiple teams
• Are passionate about developing engineers and implementing robust integration methodologies
• Have deep expertise in high‑performance SOC design, including clock/reset architecture, timing closure, and CDC methodology
• Are data‑driven and can effectively balance technical excellence with project execution

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

• 10+ years of equivalent experience
• 3+ years of people management experience
• Experience leading and interacting with cross‑functional teams
• Deep technical expertise in SOC integration and methodology
• Track record of successful tape‑outs in leading edge nodes

Preferred Qualifications

• Master’s degree in electrical engineering, computer engineering, or equivalent
• Experience with ML accelerator or high‑performance 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

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: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, CA, Cupertino – $239,600.00 – $324,100.00 USD annually
USA, TX, Austin – $208,300.00 – $281,800.00 USD annually