ZR_2754_JOB

Zohorecruit; Jacksonville (FL); Remote; USD 180,000 - 240,000; Full time

Job summary

Zohorecruit is seeking a Senior AWS EDA/HPC Architect & SME in a remote capacity to lead architecture, design, and optimization of scalable HPC and EDA workloads on AWS for clients in semiconductor design. You will bridge design engineering and cloud infrastructure, driving cost-performance, security, and automation across teams, while mentoring engineers and shaping reusable playbooks for global projects.

Experience with Synopsys, Cadence, Siemens, Ansys, and HPC schedulers, plus Terraform/CDK

Qualifications

• 10+ years in HPC/EDA architecture or cloud infra.
• 5+ years designing AWS-based HPC or semiconductor environments.
• Deep expertise with Synopsys, Cadence, Siemens, Ansys.
• Proficiency with AWS core services: EC2, S3, EFS, FSx for Lustre, Batch, Lambda, IAM, VPC.
• Strong scripting and automation: Python, Bash, Terraform, CDK.
• Solid understanding of networking, storage performance, and job scheduling (Slurm, Grid Engine, PBS Pro, LSF).
• Experience in secure, multi-account architectures with Control Tower/Organizations.
• Ability to translate complex tech to business solutions for execs.

Responsibilities

• Architect and implement end-to-end AWS HPC/EDA environments for large-scale simulations.
• Lead cloud migration of on-premise EDA workloads to AWS using ParallelCluster, FSx Lustre, EFA, and Batch.
• Design cost-efficient architectures with Spot Instances, Auto Scaling, and elastic file systems.
• Automate deployments with CloudFormation, Terraform, CDK, and CI/CD tooling.
• Tune workload performance with timing analysis, simulation, emulation, and verification on AWS.
• Advise on data management, S3 lifecycles, hybrid storage, and data lakes for analytics.
• Enforce AWS security and compliance (IAM, VPC isolation, encryption, data residency).
• Collaborate with vendors like Synopsys, Cadence, Siemens for tool validation and licensing.
• Provide SME guidance in HPC schedulers, cluster orchestration, and cloud-native workloads.
• Mentor teams and develop reusable architectures and playbooks across global projects.

Skills

AWS HPC architecture

EDA tools expertise

Cloud security IAM

Scripting and automation

DevOps/CI–CD

Slurm / Grid Engine / PBS / LSF

Multi-account AWS architectures

Tools

AWS ParallelCluster

FSx for Lustre

EFA-enabled EC2

AWS Batch

CloudFormation

Terraform

AWS CDK

VPC & PrivateLink

Job description

Senior AWS EDA/HPC Architect & SME - Remote

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 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.