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We Are :

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are :

You are a highly skilled and innovative R&D Engineer with a passion for optimizing compute infrastructure and resource management. You thrive in a dynamic environment where you can apply your deep technical expertise to manage large-scale simulation workloads efficiently. You are adept at identifying opportunities for automation and workflow optimization, using your proficiency in scripting languages like Python and Tcl to develop custom solutions that enhance productivity. Your strong analytical thinking skills allow you to tackle complex simulation and infrastructure challenges, constantly seeking new methodologies to improve accuracy, speed, and resource efficiency. You communicate effectively, delivering high-level executive summaries and technical reports that provide clear insights and recommendations to stakeholders. With a solid background in high-performance computing environments and simulation methodologies, you are ready to contribute to our cutting-edge projects and drive innovation at Synopsys.

What You’ll Be Doing :

• Manage and optimize compute and disk resources to support large-scale simulation workloads.
• Monitor and troubleshoot compute infrastructure to ensure high availability and performance.
• Collaborate with IT and infrastructure teams to scale resources as needed for complex simulation tasks.
• Develop and implement strategies for efficient resource utilization, including job scheduling, load balancing, and storage optimization.
• Identify opportunities for automation in simulation workflows and implement solutions to reduce manual effort and improve efficiency.
• Develop custom scripts and tools using Python, Tcl, or other programming languages to automate repetitive tasks and enhance simulation processes.
• Integrate automation solutions into existing workflows, ensuring seamless operation and scalability.
• Stay updated on emerging technologies and methodologies to continuously improve automation capabilities.

The Impact You Will Have :

What You’ll Need :

Who You Are :

You possess strong analytical and problem-solving skills, with a proven track record of driving innovation and implementing solutions that improve efficiency and performance. You are detail-oriented and can work independently with minimal supervision. Your communication skills are excellent, enabling you to present complex technical information clearly and effectively to diverse audiences, including senior management and cross-functional teams. You are adaptable and continuously seek opportunities to learn and apply new technologies and methodologies.

The Team You’ll Be A Part Of :

You will be joining a collaborative and dynamic team focused on optimizing compute infrastructure and resource management to support large-scale simulation workloads. Our team values innovation, efficiency, and continuous improvement, working closely with IT and infrastructure teams to scale resources and implement cutting-edge solutions. Together, we strive to enhance the performance and reliability of our simulation environment, driving the success of Synopsys' projects and technological advancements.

Rewards and Benefits :

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Design, Consulting, and Engineering

Industries

Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing

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