Role at a glance
- Job function
-
Software Engineering & IT Solutions Architecture
- Salary
- Not Disclosed
- Location
- San Francisco, California, United States East Palo Alto, California, United States
- Work arrangement
- On-site
- Experience
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure,...
- Education
- Bachelor's degree in computer science, engineering, mathematics or equivalent
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Role Summary
The Principal Solutions Architect serves as a senior technical leader for strategic semiconductor customers, translating their objectives into cloud architectures and adoption plans. The role focuses on EDA and Generative AI, while also shaping reusable technical guidance and supporting the broader Solutions Architect community.
What You'll Do
- Own senior technical relationships with semiconductor customers and lead engagements from discovery through production.
- Architect and optimize EDA workloads on AWS, including HPC compute, shared storage, scheduler integration, and license optimization.
- Advise customers on applying Generative AI and architect production solutions using Amazon Bedrock, agentic patterns, model...
- Create and evangelize reference architectures and other reusable technical assets that bridge EDA and Generative AI.
- Represent semiconductor customer needs to AWS service teams, influence product roadmaps, and mentor Solutions Architects.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: 10+ years of experience in a specific technology domain area; a bachelor's degree in computer science, engineering, or mathematics, or equivalent; experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing; and experience communicating with technical and non-technical audiences and at C-level, including through training, workshops, and publications.
Preferred
- Knowledge of distributed systems design and implementation or equivalent.
- Knowledge of large-scale automation and workflow management or equivalent.
- Knowledge of database design and implementation or equivalent.
- Presentations and whiteboarding skills, with comfort speaking with internal and external executives, IT management, and developers.
- Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud.
- Deep hands-on experience architecting large-scale HPC and/or EDA workloads in semiconductor design, verification, or manufacturing compute.
- Demonstrated expertise designing and deploying Generative AI solutions in production, including LLMs, RAG, agentic systems, and model...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
This is a builder-facing, customer-obsessed role. You will not just advise — you will architect the reference patterns, influence the AWS product roadmap, and mentor a community of Solutions Architects across the segment. Your success will be measured first and foremost by **customer outcomes**: the business problems you help solve, the workloads you help move to and optimize on AWS, and the measurable impact your customers realize.
Key job responsibilities
### Customer Impact & Outcomes
- Own the senior technical relationship for several of the largest semiconductor accounts, translating each customer's business objectives (faster tape-outs, reduced design cycle time, cost-per-wafer efficiency, time-to-market) into AWS architectures and adoption plans.
- Lead high-stakes technical engagements from discovery through production, keeping the customer's business outcome as the primary framing lens for every recommendation.
- Serve as the trusted advisor to VP/CTO-level stakeholders, earning the right to influence multi-year technology strategy.
### EDA Domain Leadership
- Architect and optimize large-scale **EDA workloads** on AWS — front-end (logic/RTL simulation, synthesis, verification) and back-end (place-and-route, physical verification, timing/signoff) flows at scale.
- Guide customers on high-throughput HPC design, elastic compute (Spot/On-Demand fleets), high-performance shared storage (FSx for Lustre, NFS appliances), scheduler integration (LSF, Slurm), and license optimization for EDA tools (Synopsys, Cadence, Siemens EDA).
- Advise on Graviton adoption for EDA tooling, cost/performance benchmarking, and hybrid burst-to-cloud patterns.
### Generative AI Leadership
- Help semiconductor customers apply **Generative AI** to their business — from design assistants, RTL/verification copilots, and knowledge-mining across design data, to GenAI-accelerated documentation, test generation, and yield/manufacturing analytics.
- Architect production GenAI solutions on **Amazon Bedrock**, agentic patterns (AgentCore), model customization, RAG over proprietary design data, and responsible-AI guardrails.
- Establish reference architectures that bridge EDA and GenAI (e.g., LLM-assisted design workflows) and evangelize them across the segment.
### Technical Influence & Scale
- Operate with **organization-wide (org+) influence** — your architectures, mechanisms, and thought leadership should scale beyond your accounts to the broader HTES segment and AWS field.
- Create reusable assets: reference architectures, whitepapers, workshops, and internal enablement that raise the technical bar for the entire SA team.
- Represent the voice of the semiconductor customer to AWS service teams; influence the product roadmap for EDA and GenAI capabilities.
- Mentor and develop SAs across the segment, contributing to hiring, calibration, and technical community-building.
Basic Qualifications
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Preferred Qualifications
- Knowledge of distributed systems design and implementation or equivalent- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Deep hands-on experience architecting large-scale HPC and/or EDA workloads (semiconductor design, verification, or manufacturing compute).
- Demonstrated expertise designing and deploying **Generative AI** solutions in production (LLMs, RAG, agentic systems, model customization).
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.
Pursuant to the San Francisco 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, East Palo Alto - 210,200.00 - 284,300.00 USD annually
USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.