Algorithm Engineer - Deep Learning

Redefining Semiconductor Intelligence

Join the team at KLA where you will lead the charge in applying generative AI and vision foundation models to the critical field of chip manufacturing. This role bridges the gap between high-level natural language intent and low-level algorithmic performance, tasking you with building robust systems that detect microscopic defects in the world's most advanced hardware.

The Vibe Coding Workflow

KLA is actively seeking engineers who embrace AI-assisted development. In this role, you won’t just be writing code; you’ll be orchestrating AI tools to design, distill, and optimize complex models. Whether you are leveraging LLMs to prototype Python scripts or using AI to refactor performance-critical C++ code, your ability to leverage 'vibe coding' practices will be a central part of your engineering toolkit to maintain a competitive edge.

Core Responsibilities

• Architect & Deploy: Design and implement state-of-the-art vision models (segmentation, detection) using PyTorch, TensorFlow, or JAX.
• Optimization: Apply model distillation and mixed-precision techniques (FP16/FP8) to ensure real-time performance and deployment efficiency.
• Iterative Innovation: Rapidly move from conceptual research to production-ready prototypes by integrating GenAI coding tools into your daily development cycle.