As Computing Solution Architect, you will lead the design and implementation of advanced High-Performance Computing (HPC), networking, and storage solutions. This role is critical in ensuring our computing infrastructure meets the evolving demands of performance, scalability, and reliability across our products and development environments.
You will find yourself providing and developing solutions to the requirements in the field of computing, network and storage hardware. You will have the chance to affect and improve the way PDC’s products will perform. The high sensitivity requirements from the computing, networks and storage will motivate you to combine your knowledge and insights together in order to integrate those technologies into Applied Materials products.
Whatyou'll be doing:End-to-end technology lead for computing solutions supporting both new and ongoing projects at Applied Materials
Champion emerging technologies by combining technical expertise with a strong understanding of ROI and business impact.
Collaborate with technical teams to evaluate and implement innovative solutions aligned with organizational goals
Architect and define state-of-the-art complex computing systems including HPC for image processing systems, networking, and storage solutions aligned with software and Applied products requirements.
Demonstrate familiarity with the software domain, including the ability to gather and interpret requirements from system and software architects and translate them into robust, scalable computing solutions.
Evaluate and select optimal architectural components and technologies to ensure scalability, reliability, and performance.
Develop comprehensive high-level and low-level design documentation for computing infrastructure.
Serve as a technical authority and advisor to development teams throughout the solution lifecycle.
Stay current with industry trends, vendor offerings, and emerging technologies to recommend best-fit solutions.
Lead research and evaluation of new computing technologies, OS, hypervisors, storage and networking solutions and assess their potential to Applied products.
Collaborate cross-functionally with software, hardware, and DevOps teams to ensure seamless integration and performance optimization.
BSc. In Computer Engineering, Computer Science, Electrical Engineering, or equivalent - MUST
At least 5 years hands-on experience in solution architecture and system engineering, focus on multi-disciplinary systems
At least 5 years hands-on experience in Computing modules such as servers, storage appliances, network devices, etc.
Strong background in system architecture and engineering, with a focus on designing and integrating complex, multi-disciplinary computing solutions.
Comprehensive knowledge across the computing stack, including compute, networking, storage, operating systems and virtualization technologies
Strong background in automation stack (Ansible, others) Containers, Kubernetes, dockers, etc.
Solid understanding of cloud computing platforms and architectures, with experience in deploying, managing, and optimizing solutions across public, private, or hybrid cloud environments.
Understanding the computing modules technologies, usage, performance and utilization.
Experience in delivery from development to production – strong advantage
Deep knowledge in DevOps practices, automation stack software architecture - Advantage
Experience in large scale organizations
Very analytical, excellent problem-solving skills
Great communication skills, ability to present a technical idea / concept clearly
Good ability to work and influence in a matrix environment.
Highly self-directed and motivated, works well independently and on a team
Self-learner
Can-do approach, flexible and agile
Capable of multi-tasking, good time management and prioritization of tasks
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