Staff Systems Engineer (Cloud Operations & Support)

Responsibilities

• Serving 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.
• 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.
• 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.
• Develop and maintain automation scripts using languages like Python, Bash, or Perl to 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).

Qualifications

Education: BS / MS in computer science or related field

Skills

BS / MS in computer science or related field

Benefits

The hourly range for California is $57.21 to $106.25 per hour. You may also be eligible to receive incentive compensation: bonus, equity, and benefits.

Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.