ML Continuous Delivery Specialist

Senior AWS EDA Architect & SME 12 weeks initial 100% remote EDA Specialist :

The customer will bring their EDA experts to the project, but we would like to have someone with a broad set of EDA experience to help translate requirements from the customer to the AWS team so we can build the proper environment.

Senior AWS EDA Architect & SME 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

Preferred Qualifications