Staff Systems Engineer – Cloud Operations, Support

Cadence Design Systems

Staff Systems Engineer focused on cloud operations and support at Cadence. Ensuring high-performance computing cluster management for optimized cloud infrastructure.

Posted 4/29/2026full-timeRemote • California, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

CloudDockerLinuxOpenStackPerlPython

About the role

Key responsibilities & impact

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

What you’ll need

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 with Docker: image management, container orchestration, and troubleshooting.
Deep expertise in Linux system administration (RHEL preferred), including networking, storage, and performance tuning.
Familiarity with user authentication and integration using systems like LDAP or Active 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.
Hands-on technical experience managing GPU VMS, installing, configuring instances and other services over OpenStack
Automation & Monitoring: Develop and maintain automation scripts using languages like Python, Bash, or Perl to streamline system maintenance, deployment, and reporting.
Strong problem-solving and communication skills with the ability to work in a multi platform, cross-functional, and geographically distributed team.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

HPC environmentLinuxDockerGPU Cluster ManagementOpenStackPythonBashPerlperformance managementcapacity management

Soft Skills

problem-solvingcommunicationteam-oriented approachprocess focuscollaboration