Senior AWS EDA​/HPC Architect & SME - Remote

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

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  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.