Principal Delivery Consultant, Emerging Tech
Amazon Web Services (AWS) · New York, United States · 2 days ago
ConsultingFull-time
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.
- 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).
Skills
- Deep understanding of AWS products and services.
- Proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer.
- Ability to work closely with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systems.
- Strong communication and collaboration skills, especially with non-technical audiences.
- Ability to provide technical guidance and troubleshooting support throughout project delivery.
- Experience with smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detection.
- Ability to act as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoption.
- Experience sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
Benefits
Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. For more information, visit https://amazon.jobs/en/benefits.
Pay
Base salary range for this position is $173,600.00 - $234,900.00 USD annually.
Schedule
Details on the schedule are not specified in the job posting.