Software Intern (GPU Optimization)

KLA • Milpitas, CA

3d • $47 - $57

About The Position

We are seeking a summer intern to join our advanced wafer inspection algorithm team, with a primary focus on GPU acceleration and CUDA code optimization. The intern will work on profiling, tuning, and redesigning CUDA kernels to maximize throughput and minimize latency in image processing and machine learning workflows used in semiconductor wafer inspection. This role offers hands-on experience in high-performance computing. The intern will contribute to production-grade algorithm deployment, collaborating closely with algorithm engineers to integrate optimized GPU modules into real-time inspection pipelines.

Requirements

• Requires less than 1 year of related experience

Nice To Haves

• Education: Currently enrolled in a Master or PhD program in Computer Science, Electrical Engineering, Applied Physics, or a related field.
• Technical Skills: Strong proficiency in CUDA, C/C++, and Python.
• Deep understanding of GPU architecture, memory hierarchy, and parallel computing principles.
• Demonstrated expertise in GPU performance analysis and optimization using advanced profiling tools such as NVIDIA Nsight Compute, Nsight Systems, and CUDA Visual Profiler, with a proven ability to identify and resolve memory bottlenecks and kernel inefficiencies.
• Domain Knowledge: Background in image processing, computer vision, or machine learning.
• Other: Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and presentation skills.

Responsibilities

• Design, implement, and optimize CUDA kernels for high-throughput image analysis and defect detection.
• Profile and tune GPU workloads using NVIDIA Nsight Compute, Nsight Systems, and other performance tools.
• Collaborate with algorithm engineers to integrate GPU/CUA optimized modules into inspection pipelines.
• Explore advanced optimization techniques such as memory optimization, thread and block configuration optimization, instruction-level optimization, kernel fusion and launch overhead reduction, algorithmic optimization and hardware-specific tuning.
• Analyze performance bottlenecks and propose architectural improvements.
• Document technical findings and present results to cross-functional teams.

Benefits

• KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
• Interns are eligible for some of the benefits listed.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees