Company Overview
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:
- Bachelor’s or Master’s 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
Bachelor’s or Master’s 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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Skills Required
- 10+ years of experience in software engineering
- 4+ years in technical leadership or management roles
- Proven track record in building and scaling distributed systems
- Experience with image processing, computer vision, or AI/ML infrastructure
- Deep understanding of distributed computing frameworks
- Proficiency in C++ and Python
- Familiarity with GPU computing and hybrid CPU/GPU architectures
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
