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

Job Title: IT -Sr Staff Systems Engineer

Grade: IT5

Experience: 10+ Years

Location: Noida

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.

The Cadence Advantage

  • The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact.
  • Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees.
  • The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success
  • Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests
  • You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day.

Job Summary:

  • 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.
  • 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.

Job 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. 
  • Developing and improving server farm tools and script.
  • Operating, managing, and enhancing the internal compute farm and associated cloud (AWS).
  • Maintaining, enhancing, monitoring, reporting, and improving its efficiency.

Experience and Technical Skills required:

  • 10+ years of technical experience writing scripts and compiling code in Linux environments. (Python, Perl, shell, C)
  • Must be highly skilled in debugging and troubleshooting multifaceted issues.
  • 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.
  • At least 3 years working in a global group, coordinating support, strategies, projects, and operations across multiple geographies in a team-oriented approach
  • 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
  • BS / MS in computer science or related field

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Confirmed 15 hours ago. Posted 30+ days ago.

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