Delivery Consultant, Emerging Tech for Semiconductors

Amazon Web Services (AWS); Nashville (TN); On-site; USD 174,000 - 235,000; Full time

Job summary

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to design, implement, and manage AWS solutions for semiconductor and high-tech manufacturing customers.

You will guide migrations, architect secure cloud environments, and deliver end-to-end engagements across the chip value chain. You will collaborate with executives and engineers to translate requirements into scalable architectures, leverage AI/ML workflows, and mentor teams while advancing digital twins, industrial data

Qualifications

• 8+ years of cloud architecture and solution implementation experience.
• Experience implementing cloud-based technology solutions or architecting/operating cloud solutions.
• Experience with semiconductor manufacturing processes, EDA tools and workflows, or Industry 4.0/smart factory implementations.

Responsibilities

• Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers.
• Providing technical guidance and troubleshooting support throughout project delivery with smart manufacturing solutions.
• Collaborating with stakeholders to gather requirements and propose migration strategies for EDA workloads and manufacturing systems.
• Acting as a trusted advisor on semiconductor trends, emergent technologies, and best practices for cloud adoption.

Skills

Cloud architecture

Solution implementation

Customer facing

Semiconductor domain

Education

Bachelors in Computer Science / Computer Engineering / Electrical Engineering

Tools

Synopsys

Cadence

Mentor

Job description

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to design, implement, and manage AWS solutions for semiconductor and high-tech manufacturing customers.

You will guide migrations, architect secure cloud environments, and deliver end-to-end engagements across the chip value chain. You will collaborate with executives and engineers to translate requirements into scalable architectures, leverage AI/ML workflows, and mentor teams while advancing digital twins, industrial data