IT - Staff Systems Engineer

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

Job Title: IT - Staff Systems Engineer

Grade: IT-IT4

Experience: 8+ Years

Location: Noida / Bangalore / Hyderabad

Cadence stands as an industry leader in electronic design, leveraging over three decades of computational software expertise. Through its Intelligent System Design strategy, Cadence delivers advanced software, hardware, and IP solutions that transform design concepts into reality. Its clients represent some of the world's most innovative companies, producing exceptional electronic products-including chips, boards, and systems-across key markets such as consumer electronics, hyperscale computing, 5G communications, automotive, aerospace, industrial, and healthcare sectors.

The Cadence Advantage

• Opportunity to work with leading-edge technology within an environment that fosters creativity, innovation, and meaningful impact.
• Employee-centric policies emphasizing both physical and mental well-being, career growth, continuous learning opportunities, and recognition of success tailored to employees' unique needs.
• The distinctive "One Cadence - One Team" culture promotes cross-functional collaboration to drive customer success.
• Numerous avenues for professional development and learning, aligned with individual interests and requirements.
• Collaboration with a diverse team of skilled, dedicated professionals who are committed to supporting customers, communities, and each other every day.

Job Summary

Cadence is seeking a highly qualified Server Farm Engineer to support, manage, and enhance the compute farm environment. The successful candidate will possess hands-on experience with cloud solutions and demonstrated expertise in collaborating directly with R&D software development teams to optimize their working environment.

At Cadence, each day presents new opportunities to address technology's most challenging problems alongside the brightest minds in the industry, serving leading organizations worldwide.

Job Responsibilities

• Provide support across multiple geographic locations to serve user communities in North America, Europe, and Asia.
• Focus on enhancing R&D productivity and delivering customer success.
• Develop and improve server farm tools and scripts.
• Operate, administer, and continually enhance the internal compute farm and associated cloud platforms (IBM/GCP/AWS).
• Oversee the maintenance, monitoring, reporting, and efficiency improvements of these environments.

Experience and Technical Skills Required

• A minimum of 8 years of technical experience with scripting and code compilation in Linux environments (Python, Perl, Shell, C, GCC...etc).
• Kernel & TCP/IP Fine tuning, experience in Compiler Optimization
• Advanced debugging and troubleshooting capabilities for complex issues.
• At least 5 years of direct, hands-on experience managing global or regional compute farms and/or hybrid cloud environments with 1,000+ servers.
• A minimum of 4+ years' experience coordinating support, strategies, projects, and operations within a global team structure.
• Extensive knowledge of LSF spanning from Farm to Cloud is highly desirable.
• In-depth understanding and proven operational experience with compute farms, job submission/management technologies, cloud platforms, and related management tools.
• Demonstrated ability to collaborate directly with R&D software development teams to develop solutions that enhance workflow optimization (Direct EDA experience preferred).
• Proven capacity and performance management skills, including workload optimization in partnership with R&D, and development and maintenance of key performance indicators.
• Strong process orientation, as evidenced by documentation practices, change management, incident response, and problem resolution.
• Bachelor's or Master's degree in Computer Science or a related field.

Client-provided location(s): Bangalore, India

Job ID: Cadence-R51513

Employment Type: FULL_TIME

Posted: 2025-10-28T18:36:55