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

Principal Solutions ArchitectWe 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 responsibilitiesCustomer Impact & OutcomesOwn 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 LeadershipArchitect 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 LeadershipHelp 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 & ScaleOperate 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 Qualifications10+ 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 QualificationsKnowledge 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).