HPC Software Manager

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 we invest 15% of sales back into R&D. Our expert teams of physicists engineers data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

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.

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.

Qualifications:

• Education:
  • Bachelors or Masters degree in Computer Science Electrical Engineering or a related technical field.
• 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.

Minimum Qualifications

Bachelors or Masters degree in Computer Science Electrical Engineering or a related technical field.

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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