AI/ML Manager

KLA Overview :

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. There is never a dull moment with us.

Key Responsibilities:

• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm.
• Familiar with high performance computing, parallel programming and distributed systems.
• Strong leadership and team management skills, with a track record of successfully leading engineering teams.
• Proficiency in programming languages such as Python, C++ and CUDA.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Qualifications:

1. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
2. Experience with GPU architecture and algo development toolkit like Docker, Apptainer.

Minimum Qualifications

• Bachelor's degree plus 8 + years of experience
• Master's degree plus 8 + years of experience
• Familiar with high performance computing, parallel programming and distributed systems.