Required Skills: AWS, EDA, HPC, Synopsys, Cadence, Siemens, Ansys, ParallelCluster, FSx for Lustre, EC2, AWS Batch, CloudFormation, Terraform, AWS CDK, Python, Bash, Slurm, Grid Engine, PBS Pro, LSF, IAM, VPC, S3, EFS

Job Description

The Senior AWS EDA (Electronic Design Automation) Architect & Subject Matter Expert will lead the architecture, design, and optimization of scalable high-performance compute (HPC) and EDA workloads on AWS. This role bridges semiconductor design engineering and cloud infrastructure—helping clients modernize chip design workflows, reduce simulation runtimes, and achieve optimal cost-performance at scale.

The Architect will act as a strategic advisor to both engineering and IT leadership, ensuring secure, automated, and efficient AWS deployments tailored to EDA workloads such as Synopsys, Cadence, Siemens, and Ansys.

Key Responsibilities:

- Architect and implement end-to-end AWS HPC/EDA environments, including compute, storage, networking, and licensing infrastructure optimized for large-scale simulation and verification.

- Lead cloud migration initiatives for on-premises EDA workloads using AWS services such as ParallelCluster, FSx for Lustre, EFA-enabled EC2, and AWS Batch.

- Design cost-efficient architectures leveraging Spot Instances, Auto Scaling, and Elastic File Systems for dynamic simulation environments.

- Integrate automation and DevOps pipelines using CloudFormation, Terraform, AWS CDK, and CI/CD tools for repeatable and compliant deployments.

- Collaborate with semiconductor design teams to tune and benchmark workloads for optimal performance on AWS.

- Advise on data management strategies for high-throughput EDA workflows.

- Implement and enforce AWS security, identity, and compliance best practices.

- Work closely with EDA vendors to validate tool performance and ensure license server integration on AWS.

- Provide subject matter expertise in HPC job schedulers and cloud-native workload management.

- Mentor engineering and DevOps teams, establish best practices, and contribute to reusable architectures and playbooks across global projects.