Staff Systems Engineer (Cloud Operations & Support)

At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.

Location: San Jose CA OR Austin TX or Remote US

We are seeking a highly skilled and experiencedCloud Operations and Support Engineerto join our team. This is a hands-on senior individual contributor role that will be pivotal in operations and support of our cloud infrastructure. You will be responsible for the entire lifecycle of our cloud environment from architecting and building high-performance clusters with CPUs and GPUs to deploying and optimizing our multi tenant cloud services in both private and public cloud infrastructure.

Responsibilities

• Supporting multiple geological locations to serve user communities across North America Europe and Asia sites.

• Focusing on improving customer productivity and committing to customer success.

• Driving the overall operational strategy for internal High-Performance Compute (HPC) clusters in Cadence cloud.

• Maintaining enhancing monitoring reporting and improving its efficiency.

Requirements

• 8 years of technical experience architecting managing and improving a HPC environment running Linux.

• At least 3 years working in a global group coordinating support strategies projects and operations across multiple geographies in a team-oriented approach

• Solid understanding and proven operational experience with HPC clusters job submission/management technologies cloud and associated management tools.

• Proven experience working directly with engineering teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)

• Proven experience in capacity and performance management optimizing performance ensuring adequate capacity working with customers on optimization of their workloads and development and maintenance of key performance indicators

• A proven process focus shown through documentation change management incident management and problem-resolution activities

• Extensive hands-on experience withDocker: image management container orchestration and troubleshooting.

• Deep expertise inLinux system administration(RHELpreferred) including networking storage and performance tuning.

• Familiarity with user authentication and integration using systems likeLDAPorActive Directory.

• Solid understanding and proven operational experience with HPC clusters job submission/management technologies cloud and associated management tools.

• Hands-on GPU Cluster Management:Experience in configuration installation and optimization of GPU server clusters. This includes advanced troubleshooting of hardware and software performance tuning and implementing best practices for cluster utilization and resource management. Hands-on technical experience managing GPU VMS installing configuring instances and other services over OpenStack

• Automation & Monitoring:Develop and maintain automation scripts using languages likePythonBash orPerlto streamline system maintenance deployment and reporting. Implement and manage monitoring solutions for system health job statuses GPU utilization and container performance to proactively identify and resolve issues.

• Strong problem-solving and communication skills with the ability to work in a multi platform cross-functional and geographically distributed team. Proven experience working directly with internal or external Customers to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)

Education: BS / MS in computer science or related field

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