Server Farm Engineer

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

Cadence is seeking a Server Farm Engineer to join our team to support, manage, and improve the compute farm environment. The candidate should have hands-on experience with cloud solutions and proven expertise in working directly with R&D software development teams to develop solutions to optimize their working environment collaboratively.

Cadence has a 30-year history of applying leading-edge optimization and analysis algorithms to highly complex problems in semiconductor and electronic design, verification, and analysis. We are looking for a recent graduate software engineer to join our team of collaborative EDA professionals to deliver the best-in-class next-generation software for physical IC applications. The software engineer will work on complex problems where data analysis requires an evaluation of intangible variance factors to develop leading-edge software for the physical design and verification of products at advanced nodes.

Each day with Cadence offers exciting opportunities to create a better, more connected world. We are leading the charge to solve technology’s toughest challenges. Working at Cadence means working alongside the industry’s brightest people and innovating for the biggest, most innovative companies around the globe.

Role : Server Farm Engineer

Location : San Jose, CA OR Austin, TX

Must haves

Hands-on technical experience managing IBM LSF and RTM and scripting using Python, shell, Perl, etc., in a Farm environment and knowledge of LSF spanning Farm to Cloud is highly desirable

Solid understanding and proven operational experience with compute farms, job submission / management technologies, cloud, and associated management tools.

Proven experience working directly with R&D software development teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)

Responsibilities

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

Focusing on improving R&D productivity and committing to customer success.

Driving the overall operational strategy for internal High-Performance Compute (HPC) farms in all Cadence locations.

Developing and executing the three-year compute roadmap and planning annual capacity growth for on-premises server farm in San Jose.

Operating, managing, and enhancing the internal compute farm and associated cloud (AWS).

Maintaining, enhancing, monitoring, reporting, and improving its efficiency.

Requirements

8+ years of technical experience architecting, managing, and improving a compute farm environment running Linux.

At least 5 years of direct hands-on experience in a global or regional compute farm and / or hybrid cloud environment consisting of 1,000 or more servers with some remote direct reports

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

Extensive technical experience managing IBM LSF and RTM and scripting using Python, shell, Perl, etc., in a Farm environment and knowledge of LSF spanning Farm to Cloud is highly desirable

Solid understanding and proven operational experience with compute farms, job submission / management technologies, cloud, and associated management tools.

Proven experience working directly with R&D software development 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 R&D 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

Education : BS / MS in computer science or related field

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