Algorithm Engineering Intern (GPUCUDA)

To make electronics you need chips wafers transistors reticles and... To make these you must see test and manufacture them at scalefaster and better than ever before. Thats where KLA comes in. Whether youre early in your career or an experienced professional youll solve complex challenges work alongside brilliant minds and help shape the future of technology.

Group/Division

The Semiconductor Products and Customers (Semi PC) business unit designs builds and sells KLAs 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.

What Youll Do

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Minimum Qualifications

Currently pursuing an M.S. or Ph.D. in Computer Science Electrical Engineering Computer Engineering or a related technical field

Minimum Qualifications

Requires less than 1 year of related experience

About KLA

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.

Total Rewards

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

KLAs 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 by role level and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors including state minimum pay wage rates location job-related skills experience and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement

At KLA our interviews seek to understand your individual skills problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation the use of AI recording tools or other technologies to generate suggest or provide responses during interviewswhether virtual or in personis not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI and we value candidates who share this mindset.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

For additional information view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.