Senior AWS EDA / HPC Architect & SME - Remote

Job Description

Job Description

Senior AWS EDA / HPC Architect & SME - Remote

Position Summary :

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 their chip design workflows, reduce simulation runtimes, and optimize cost-performance at scale. The architect will serve as a strategic advisor to both engineering and IT leadership, ensuring secure, automated, and efficient cloud 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 design simulation and verification.

Lead cloud migration initiatives for on-premises EDA workloads to AWS using services such as AWS 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 (timing analysis, simulation, emulation, verification, etc.) for optimal performance on AWS.

Advise on data management strategies for high-throughput EDA workflows, including S3 lifecycle policies, hybrid storage (FSx, EBS, EFS), and data lakes for results analytics.

Implement and enforce AWS security, identity, and compliance best practices (IAM, VPC isolation, PrivateLink, encryption, data residency).

Work closely with vendors and partners (e.g., Synopsys, Cadence, Siemens) to validate tool performance and ensure license server integration on AWS.

Provide subject matter expertise in HPC job schedulers (Slurm, PBS, LSF), cluster orchestration, and cloud-native workload management.

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

Required Qualifications

10+ years of experience in HPC or EDA architecture , systems engineering, or cloud infrastructure roles.

5+ years of hands-on experience designing AWS-based HPC or semiconductor design environments .

Deep expertise with EDA tools (Synopsys, Cadence, Siemens, Ansys) and understanding of parallel and distributed compute optimization.

Proficiency with AWS core services : EC2, S3, EFS, FSx for Lustre, Batch, Lambda, CloudFormation, CloudWatch, IAM, and VPC.

Strong scripting and automation experience (Python, Bash, Terraform, or CDK).

Solid understanding of networking, storage performance tuning , and job scheduling systems (Slurm, Grid Engine, PBS Pro, LSF).

Experience implementing secure, compliant, multi-account architectures with Control Tower, Organizations, and Service Catalog.

Proven ability to interface with engineering teams and executives , translating complex technical challenges into business solutions.

Preferred Qualifications

AWS Certified Solutions Architect – Professional or Advanced Networking Specialty.

Experience integrating EDA workloads with data analytics or ML pipelines on AWS (e.g., SageMaker, EMR, Glue).

Familiarity with chip design lifecycle workflows (RTL, synthesis, verification, sign-off, P&R, DFT).

Experience supporting hybrid cloud architectures and HPC burst-to-cloud strategies.

Background in Semiconductor, Aerospace, or High-Tech industries a plus.