Software Engineer (AI/ML) Intern

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 (Semi PC) 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 Measurement, Analytics and Control (MACH) division is KLA’s software powerhouse, responsible for developing high-performance software platforms that support semiconductor manufacturing. MACH delivers cutting-edge technologies in patterning analytics, modeling, and data science-empowering chipmakers to ramp next-gen devices faster and more efficiently. Our cross-functional team of research scientists, software engineers, apps engineers and process engineers are solving the industry’s most complex technical problems.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Software Engineer (AI/ML) intern may work on a variety of tasks including platform for large scale software system, data management, machine learning model training and inference solutions for KLA products.

Strong analytical capabilities and problems solving skills are crucial. Familiarity with Machine Learning and Deep Learning solutions would be a big plus.

Successful candidates are passionate about software and will have exceptional skills and hands on experience with development in Python, C++, C# or Java. Deep conceptual understanding of multi-threaded and multi process software systems is also necessary.

In addition to the above fundamental software skills, any of the following technical hands-on skills are highly desirable.

• Data Structures and algorithms
• Traditional machine learning using Random Forest, XG Boost, Logistic Regression.
• Deep Learning for regression, classification and Generative models.
• TensorFlow or Pytorch, NumPy, scikit-learn, and other ML and DL frameworks.
• Distributed systems for data management.
• Distributed computing infrastructure.
• Cloud technologies for storage, containerization and compute clusters.
• GPU architectures and data management.

Successful candidates for this position will also demonstrate the following non-technical skills.

• Capability to formulate creative solutions through analyzing complex data
• Good communication skills
• Strong team player and motivated by team success
• Strong problem-solving skills

Minimum Qualifications

Masters level degree student or a PhD candidate

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: $22.10 - $42.50 per hour based on pursuit of a Bachelor’s, Master’s, or Ph.D. Primary Location: USA-TX-Austin-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 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 interviews-whether virtual or in person-is 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 [email protected] or at +1-408-352-2808 to request accommodation.

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