ZR__JOB

Jacksonville, United States | Posted on 11/11/2025

Position Summary: The Senior AWS EDA Architect and 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  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.

• 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 Parallel Cluster, 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 Dev Ops pipelines using Cloud Formation, 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, Private Link, 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 Dev Ops teams, establish best practices, and contribute to reusable architectures and playbooks across global projects.

• 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, Cloud Formation, Cloud Watch, 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.

• AWS Certified Solutions Architect
  - Professional or Advanced Networking Specialty.
• Experience integrating EDA workloads with data analytics or ML pipelines on AWS (e.g., Sage Maker, 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.