KLA Software Engineer - HPC 

United States, California, Milpitas 

11684935

As an AI & HPC Software Infrastructure Engineer, you will play a crucial role in developing and maintaining the software infrastructure that drives our advanced AI and machine learning solutions for wafer inspection systems. In this position, you will be at the forefront of innovation, ensuring that our technology remains cutting-edge and efficient.

• Design, develop, and optimize software infrastructure for high-performance computing (HPC) systems tailored to AI and machine learning applications.
• Collaborate with cross-functional teams to integrate AI and machine learning algorithms into scalable and efficient HPC environments.
• Implement robust and scalable solutions to manage data processing, storage, and retrieval for AI workloads.
• Ensure the reliability, security, and performance of the AI infrastructure through continuous monitoring and improvement.
• Participate in code reviews, testing, and debugging to maintain high-quality software standards.
• Stay updated with the latest advancements in AI, HPC, and software engineering to drive innovation within the team.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Proven experience in software engineering, with a focus on HPC and AI infrastructure development.
• Strong programming skills in languages such as Python, C++, and Java.
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch) and HPC technologies (e.g., MPI, CUDA).
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Passion for AI and machine learning, with a keen interest in developing infrastructure that drives these technologies forward.

• Experience in developing large scale distribution applications.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of data engineering and big data technologies (e.g., Hadoop, Spark).

• Opportunity to work on cutting-edge AI and HPC projects that have a significant impact on the industry.
• Collaborative and innovative work environment with a focus on continuous learning and growth.
• Competitive salary and benefits package

Minimum Qualifications

Doctorate (Academic) and 0 years of experience , Master's Level Degree and 2 years of experience , or Bachelor's Level Degree and 5 years of experience

or at +1-408-352-2808