Principal Delivery Consultant, Emerging Tech
About the role
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS).
Key job responsibilities include:
- Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers — including high-performance computing environments for chip design, simulation, and verification.
- Providing technical guidance and troubleshooting support throughout project delivery, incorporating smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detection.
- Collaborating with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systems.
- Acting as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoption.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts — including reference architectures and AI/ML workflows for accelerating the design-to-fab process.
Responsibilities
- Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers — including high-performance computing environments for chip design, simulation, and verification.
- Providing technical guidance and troubleshooting support throughout project delivery, incorporating smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detection.
- Collaborating with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systems.
- Acting as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoption.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts — including reference architectures and AI/ML workflows for accelerating the design-to-fab process.
Requirements
- 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 technologies.
Qualifications
- Experience 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 communicating technical concepts to a non-technical audience.
- 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).
Skills
- AWS Professional level certification.
- Experience with EDA tools and workflows (Synopsys, Cadence, Mentor).
- High-performance computing for chip design and verification.
- 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).
Benefits
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.
Learn more about our benefits at https://amazon.jobs/en/benefits.
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.
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.