What you'll do
As a Senior R&D Engineer at Synopsys, you will be responsible for the deployment and maintenance of cloud-based HPC infrastructure. You 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
What you need
To succeed in this role, you will need a strong background in engineering, computer science, or a related field, with a minimum of 5 years of experience. You should have a passion for crafting robust and efficient code, and be comfortable working independently with minimal supervision.
- 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
Why this matters
This role is a key part of Synopsys' R&D team, and will play a critical role in helping the company deliver innovative solutions to its customers. As a Senior R&D Engineer, you will have the opportunity to work on complex technical challenges, and to make a real impact on the company's success.
