HPC Software Manager

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.