Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

AWS Professional Services (ProServe) is seeking a ProServe Cloud Architect (PCA) specializing in the semiconductor and high tech manufacturing vertical. You will engage directly with organizations such as NVIDIA, Intel, Qualcomm, Marvell, Analog Devices, Micron, Samsung, GlobalFoundries, KLA, ASML, and TSMC to design and deliver cloud solutions tailored to this industry. As a PCA you operate as the conduit between ProServe Account Executives and Shared Delivery Teams (SDT), ensuring solutions are realistic, achievable, and maximize customer business outcomes (CBOs). You serve as a trusted advisor on industry trends, emerging technologies, and the regulatory landscape. This is not a role for a semiconductor hobbyist. It requires a professional who understands how fabs, IDMs, and EDA vendors operate as businesses: design-to-tapeout economics, wafer and fab capacity models, IP licensing and export control regimes (ITAR/EAR), EDA tool licensing structures, and how cloud infrastructure underpins chip design, verification, and high-volume manufacturing. That business fluency, combined with cloud architecture expertise, is what makes this role distinct. Your success will be measured by SOW signings, successful solution delivery, and customer satisfaction (CSAT).

Key job responsibilities As an experienced technology professional, you will be responsible for: • Designing scalable, secure AWS solutions for semiconductor and high tech manufacturing customers, accounting for EDA workload performance, export control compliance, and high-volume production data patterns • Providing technical guidance during pre-sales and implementation, translating semiconductor business structures (design-to-tapeout economics, fab capacity models, EDA licensing) into solution architectures • Leading migration-at-scale of EDA workloads to AWS — orchestrating with Landing Zone Accelerator (LZA), AWS ParallelCluster, Research and Engineering Studio (RES), License Manager, and Cloud Ops/FinOps best practices for EDA — moving customers past POC and benchmarking paralysis into production scale • Collaborating with Account Managers and SDTs to ensure proposals address IP protection, export control (ITAR/EAR), and data privacy obligations unique to semiconductor design and manufacturing • Advising customers on emerging technologies: EDA-to-GPU workload migration, Industry 4.0 and digital twin technologies, IoT/edge computing for smart manufacturing, and AI/ML for yield and process optimization • Sharing knowledge through mentoring, training, and reusable artifacts that capture the regulatory and business patterns unique to this vertical

A day in the life As a PCA in the semiconductor and high tech manufacturing vertical, no two days look the same, but your time centers on customers, partners, and solving real problems: • Engaging directly with customers to understand their EDA and manufacturing cloud journey, identify pain points, and scope solutions that deliver measurable value • Partnering closely with ProServe Account Executives (PAEs) to align on opportunity strategy, develop statements of work, and drive deals through the pipeline • Deep diving into customer environments to assess level of effort for EDA workload migration or Smart Manufacturing modernization, define solution architectures, and build business cases that articulate the ProServe value proposition • Delivering opportunity scoping and solution design focused entirely around the customer, solving their specific problems rather than selling generic services • Working across organizational boundaries with Solution Architects, WWSO, Account Executives, and delivery teams both inside ProServe and across the broader AWS sales organization • Engaging directly with C-suite executives, fab and IDM CTOs, EDA vendor technical leads, and manufacturing operations executives inside each semiconductor and high tech organization to build trust and drive outcomes

About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. - 8+ years of cloud architecture and solution implementation experience - Bachelor's degree in Computer Science, Math, or a related field - Experience managing and delivering large-scale enterprise IT projects - Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Knowledge of compliance and security standards across the enterprise IT landscape - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience implementing AWS services in a variety of distributed computing environments - Experience with enterprise architecture frameworks (like TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets - Experience with enterprise systems including SAP, Oracle, and custom applications

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