Senior R&D Engineer

Requisition #: 17197

Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

Summary / Role Purpose

The Senior R&D Engineer is responsible for the deployment and maintenance of cloud-based HPC infrastructure. In this role, the Senior R&D Engineer will use advanced technical and problem-solving skills to help the team tackle complex issues, satisfy customer requirements, and accomplish development objectives.

• Deploys, configures, and maintains cloud-based HPC infrastructure

• Implement and manage automation for infrastructure using IaC tools such as Terraform, Spacelift, Helm, etc.

• Manage cluster lifecycle including scaling, upgrades, patching, and monitoring for SLURM and Kubernetes based clusters

• Monitors and responds to HPC issues

• Works with observability tools like Datadog to improve response time to issues and outages

• Develop and maintain internal documentation, operational runbooks, and support playbooks

• Works independently with minimal supervision and may take on some planning and mentoring responsibilities

• May be responsible for managing interns or co-ops but typically does not have direct reports

• BS in Engineering, Computer Science, or related field with 5 years' experience, MS with 3 years' experience, or PhD with 1 year experience

• Commercial experience with software design and development methodologies

• Passion for crafting robust and efficient code in Golang or Python

• Experience delivering high-quality products in a large-scale commercial software development environment

• Strong Linux system administration skills and experience managing distributed systems at scale.

• Excellent technical knowledge and commercial experience with IaC tools (e.g. Terraform, Spacelift, etc.) and HPC schedulers (e.g. SLURM, Kubernetes, etc.)

• Good communication and interpersonal skills

• Ability to work collaboratively in a geographically distributed team