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
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
