Senior AWS EDA/HPC Architect & SME - Remote
Jacksonville, United States | Posted on 11/11/2025
Position Summary
TheSenior 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 implementend-to-end AWS HPC/EDA environments including compute, storage, networking, and licensing infrastructure optimized for large-scale design simulation and verification.
- Lead cloud migration initiativesfor on-premises EDA workloads to AWS using services such as AWS ParallelCluster, FSx for Lustre, EFA-enabled EC2, and AWS Batch.
- Design cost-efficient architecturesleveraging Spot Instances, Auto Scaling, and elastic file systems for dynamic simulation environments.
- Integrate automation and DevOps pipelinesusing CloudFormation, Terraform, AWS CDK, and CI/CD tools for repeatable and compliant deployments.
- Collaborate with semiconductor design teamsto tune and benchmark workloads (timing analysis, simulation, emulation, verification, etc.) for optimal performance on AWS.
- Advise on data management strategiesfor high-throughput EDA workflows, including S3 lifecycle policies, hybrid storage (FSx, EBS, EFS), and data lakes for results analytics.
- Implement and enforceAWS 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 expertisein 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 inHPC or EDA architecture, systems engineering, or cloud infrastructure roles.
- 5+ years of hands-on experience designingAWS-based HPC or semiconductor design environments.
- Deep expertise withEDA tools(Synopsys, Cadence, Siemens, Ansys) and understanding of parallel and distributed compute optimization.
- Proficiency withAWS 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 ofnetworking, storage performance tuning, andjob scheduling systems(Slurm, Grid Engine, PBS Pro, LSF).
- Experience implementingsecure, compliant, multi-account architectureswith Control Tower, Organizations, and Service Catalog.
- Proven ability to interface withengineering teams and executives, translating complex technical challenges into business solutions.
Preferred Qualifications
- AWS Certified Solutions Architect – Professional or Advanced Networking Specialty.
- Experience integratingEDA workloads with data analytics or ML pipelineson AWS (e.g., SageMaker, EMR, Glue).
- Familiarity withchip design lifecycleworkflows (RTL, synthesis, verification, sign-off, P&R, DFT).
- Experience supportinghybrid cloud architecturesand HPC burst-to-cloud strategies.
- Background inSemiconductor, Aerospace, or High-Tech industriesa plus.