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 Eengineer 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 enjoy one-on-one 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.
- 7+ years of engineering team management experience
- Knowledge of
SoC architecture
- 15+ years writing functional or performance models for SoCs, CPUs, GPUs, or ASICs
- Strong
C++ and/or SystemC skills in large-scale OOP codebases
- 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.
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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, AZ, Tempe - 208,300.00 - 281,800.00 USD annually