Algorithm Engineering Intern; GPU​/CUDA)

To make electronics, you need chips, wafers, transistors, reticles, and… To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you’re early in your career or an experienced professional, you’ll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division The Semiconductor Products and Customers(SemiPC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

The RAPID division leads the industry in reticle inspection solutions, helping ensure high lithography yields and cost-effective semiconductor manufacturing. Its systems support both mask shops and fabs by detecting defects early in the process, enabling faster, more reliable production.

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. We are seeking a highly motivated Algorithm Engineering Intern to join our algorithm engineering team. The intern will focus on accelerating and optimizing image-processing and computer vision algorithms on GPU platforms.

• Strong programming skills in C/C++.
• Hands-on experience developing CUDA applications and writing CUDA kernels.
• Understanding of GPU architecture and parallel programming concepts.
• Experience with Linux-based software development environments.
• Strong analytical, debugging, and problem-solving skills.

• Proficient in writing CUDA kernels for image-processing or similar compute-intensive workloads.
• Strong knowledge of CUDA kernel optimization techniques for improving compute efficiency and memory performance.
• Strong understanding of performance optimization techniques and hardware-aware software design.

• Currently pursuing an M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field
• Requires less than 1 year of related experience

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Base Pay Range: $49.00 - $58.00 per hour based on pursuit of a Masters and Ph.D. Primary

Location:

USA-CA-Milpitas-KLA 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. Our pay ranges are determined…