HPC Software Manager

HPC Software Manager KLA is looking for an HPC Software Manager to build and lead a team responsible for architecting and developing the distributed software infrastructure for image computing clusters within the LS division. This pivotal role involves enabling scalable, high-performance platforms that support advanced image processing and AI workloads. Key Responsibilities - Strategic Leadership : Define and drive the long-term vision and roadmap for distributed HPC software infrastructure supporting image computing clusters. - Team Development : Build, mentor, and grow a high-performing team of software engineers and technical leaders. - Cross-functional Collaboration : Partner with product, hardware, and algorithm teams to align infrastructure capabilities with evolving image processing and AI requirements. - Platform Architecture : Oversee the design and implementation of scalable, fault-tolerant distributed systems optimized for hybrid CPU/GPU workloads. - Lifecycle Management : Lead the end-to-end development of image computing platforms, from requirements gathering through deployment and maintenance, using best-in-class project management practices. - Developer Enablement : Deliver robust software platforms and tools that empower engineers to develop, test, and deploy new image processing and deep learning algorithms efficiently. - Innovation in Hybrid Computing : Spearhead the integration of traditional image processing and AI/DL techniques into a unified hybrid computing architecture, leveraging modern HPC technologies. Skills - Deep understanding of distributed computing frameworks and Linux Systems Programming. - Proficiency in C++, Python, and/or other systems programming languages. - Familiarity with GPU computing and hybrid CPU/GPU architectures. - Strong grasp of software development best practices, CI/CD, and DevOps principles. - Demonstrated ability to lead and drive functional teams. - Excellent communication and stakeholder management skills. - Passion for mentoring and developing engineering talent. - Proven track record in building and scaling distributed systems, preferably in HPC or cloud-native environments. - Experience with image processing, computer vision, or AI/ML infrastructure is highly desirable. Qualifications - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. Skills: gpu computing , Devops, Hpc, C++, Python Experience: 10.00-15.00 Years