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KLA HPC Software Manager India, Tamil Nadu, Chennai 72996176
21.08.2025
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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.
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