Level

Amazon

Principal Solutions Architect - High-Tech, Electronics & Semiconductor, Hi-Tech Electronics and Semiconductor

AI in this role

Lead technical engagements helping semiconductor customers architect EDA workloads and generative AI solutions on AWS.

bedrockawsamazon-bedrockslurm
raggenerative-aihpccloud-architecturesemiconductor
We are seeking a Principal Solutions Architect to serve as the senior technical leader for a portfolio of AWS's largest and most strategic semiconductor customers. In this role, you will operate at the intersection of **Electronic Design Automation (EDA)** and **Generative AI**, partnering with C-suite and engineering leadership at the world's leading chip designers, foundries, and semiconductor IP companies to shape and accelerate their cloud transformation.

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

How we rate this

Principal Solutions Architect - High-Tech, Electronics & Semiconductor, Hi-Tech Electronics and Semiconductor at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGGenerative AIHpcCloud ArchitectureSemiconductorBedrockAWSAmazon Bedrock

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where generative ai was part of your work. What did you do?
  3. Tell me about a project where hpc was part of your work. What did you do?
  4. Tell me about a project where cloud architecture was part of your work. What did you do?
  5. Tell me about a project where semiconductor was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Generative AI, Hpc, Cloud Architecture, and Semiconductor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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