Manager, Software Engineering

About the job

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The LS-SWIFT division delivers high-throughput patterned wafer inspection systems that support advanced semiconductor manufacturing. Its mission is to provide industry-leading defect detection with optimal cost of ownership across a wide range of applications. LS systems enable precise, cost-effective inspection for cutting-edge process nodes, while SWIFT systems offer comprehensive macro inspection of all wafer surfaces—capabilities that are especially critical for advanced packaging, as well as logic, memory, and automotive applications.

What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Key Responsibilities:

- Strategic Leadership: Define and drive the long-term vision and roadmap for distributed IMC 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

- 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.

- Working knowledge of container technologies, orchestration frameworks (e.g., Kubernetes), and workflow automation.

- 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

About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement  At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

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.