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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.
Basic Qualifications
- 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
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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Cupertino - 239,600.00 - 324,100.00 USD annually USA, TX, Austin - 208,300.00 - 281,800.00 USD annually