Principal Delivery Consultant, Emerging Tech

Delivery ConsultantThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with semiconductor and high-tech manufacturing customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Principal Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current EDA and manufacturing infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. Your focus will span EDA workload migration, smart manufacturing, digital twins, and generative AI applications for chip design and verification. You'll partner with technology leaders to assess their current state, architect cloud-native solutions, and deliver transformative engagements across the entire chip value chain.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilities As an experienced technology professional, you will be responsible for:Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers including high-performance computing environments for chip design, simulation, and verificationProviding technical guidance and troubleshooting support throughout project delivery, incorporating smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detectionCollaborating with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systemsActing as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoptionSharing knowledge within the organization through mentoring, training, and creating reusable artifacts including reference architectures and AI/ML workflows for accelerating the design-to-fab processA day in the life Your morning might start with a working session alongside a semiconductor customer's engineering team, helping them optimize their EDA compute environment for faster tape-out cycles. After lunch, you're whiteboarding a computer vision architecture for automated wafer inspection with a solutions architect and account manager. Later, you're refining a proof-of-concept that uses generative AI to accelerate chip verification workflows. Between customer calls, you're contributing to a reference architecture that will help the next customer get to value faster.About the team Diverse Experiences Amazon 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. 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 in the cloud. 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 and 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.Basic Qualifications - 8+ years of cloud architecture and solution implementation experience- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience- Experience implementing cloud-based technology solutions, or experience architecting/operating solutions built on a cloud provider (e.g., AWS, Azure, GCP)- Experience with semiconductor manufacturing processes, EDA tools and workflows, or Industry 4.0/smart factory implementations- 5+ years of customer-facing work, engaging with customer executives, technologists, or partners to solve business problems with cloud technologiesPreferred Qualifications - AWS Professional level certification- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience- Experience communicating technical concepts to a non-technical audience- Experience with EDA tools and workflows (Synopsys, Cadence, Mentor) and high-performance computing for chip design and verification- Knowledge of advanced manufacturing optimization techniques, digital twin technologies, and computer vision for defect detection- Familiarity with industrial IoT protocols (OPC-UA, SECS/GEM), edge computing, and manufacturing execution systems (MES)