HPC Software Manager

KLA Overview:

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Key Responsibilities:

As the HPC Software Manager, you will build & lead a team responsible for architecting and developing the distributed software infrastructure that powers image computing clusters across the LS division. This role is pivotal in enabling scalable, high-performance platforms that support advanced image processing and AI workloads.

• 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.

Qualifications:

Experience:

• 10+ years of experience in software engineering, with at least 4 years in technical leadership or management roles.
• 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.

Technical Skills:

• Deep Understanding of distributed computing frameworks & 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.

Leadership & Communication:

• Demonstrated ability to lead and drive functional teams.
• Excellent communication and stakeholder management skills.
• Passion for mentoring and developing engineering talent.

Education:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.