Intern / Co-Op Technical
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Before you apply
LocationChennai, India
Typeinternship
SeniorityEntry
ExperienceUp to 1 yrs
Company size10,000+ people
PostedOct 28, 2026 · 1w ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Problem and Data Understanding: Analyse large-scale image and sensor data from inspection systems; define problem statements, evaluation metrics, and success criteria
Deep Learning Model Development: Design, train, and evaluate state-of-the-art deep learning models (CNNs, Transformers, diffusion models, etc.)
Research and Exploration: Explore modern AI techniques such as foundation models, distillation, efficiency optimisation, and generative AI; benchmark and compare model performance across architectures and datasets
Prototyping and Experimentation: Build rapid prototypes to validate new ideas and concepts; design experiments for model validation, ablation studies, and robustness evaluation
ML Systems and Pipeline Development: Work on data pipelines, training workflows, and model evaluation frameworks; contribute to scalable ML workflows including experiment tracking, dataset versioning, and reproducibility
Performance Optimisation: Optimise models for compute efficiency, latency, and memory (e.g., GPU acceleration, model compression, distillation)
Productization and Deployment: Collaborate with software teams to integrate models into production systems; contribute to inference pipelines and real-time deployment constraints
Requires less than 1 year of related experience
CGPA: 7.5, No standing arrears
Research/scientific background is desirable
Knowledge and understanding of modern machine learning approaches is highly desirable
Solid background in statistics and mathematics is desirable
Experience with image processing / signal processing is a plus
Experience with heterogenous parallel computing (including GPU) is a plus
Good, demonstrated programming skills are desirable
Analytical skills, problem-solving skills (quantitative & algorithmic)
Interest in algorithm development & programming
Ability to work in a team, and contribute to the team effort
Proficiency in C++, Python and DL frameworks
Skills
Machine Learning
Deep Learning
CNNs
Transformers
diffusion models
supervised learning
self-supervised learning
semi-supervised learning
foundation models
distillation
efficiency optimisation
generative AI
C++
Python
GPU acceleration
model compression
image processing
signal processing
heterogenous parallel computing
GPU
About the company
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. KLA’s Central Engineering organization is made up of nine Centers of Excellence (CoEs) spanning disciplines like automation, motion control, sensors, platform design, and packaging. Each CoE contributes not only technical deliverables but also deep expertise, best practices, and advanced tools that elevate both what we build—and how we build it.
What You’ll Do
About the role
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
KLA-Tencor Corporation, KLAC (NASDAQ) - a leading provider of process control and yield management solutions, partners with customers around the world to develop state-of-the-art inspection and metrology technologies. These technologies serve the semiconductor, data storage, LED, and other related nano electronics industries. With a portfolio of industry-standard products and a team of world-class engineers and scientists, the company has created superior solutions for its customers for over 40 years. Headquartered in Milpitas, California, KLA-Tencor has dedicated customer operations and service centres around the world. Additional information may be found at www.kla-tencor.com
Who are we? We research, develop, and manufacture the world’s most advanced inspection and measurement equipment for the Semiconductor and Nano electronics Industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We’re passionate about creating solutions that drive progress and help people do what wouldn’t be possible without us. The future is calling. Will you answer?
Intern Roles and Responsibilities
You will be part of a Machine Learning and AI research group focused on developing deep learning–driven solutions to enhance the performance of next-generation semiconductor inspection systems.
Your responsibilities will include:
•Problem and Data Understanding
i. Analyse large-scale image and sensor data from inspection systems
ii. Define problem statements, evaluation metrics, and success criteria
•Deep Learning Model Development
i. Design, train, and evaluate state-of-the-art deep learning models (CNNs, Transformers, diffusion models, etc.)
ii. Experiment with supervised, self-supervised, and semi-supervised learning approaches
•Research and Exploration
i. Explore modern AI techniques such as foundation models, distillation, efficiency optimisation, and generative AI
ii. Benchmark and compare model performance across architectures and datasets
•Prototyping and Experimentation
i. Build rapid prototypes to validate new ideas and concepts
ii. Design experiments for model validation, ablation studies, and robustness evaluation
•ML Systems and Pipeline Development
i. Work on data pipelines, training workflows, and model evaluation frameworks
ii. Contribute to scalable ML workflows including experiment tracking, dataset versioning, and reproducibility
•Performance Optimisation
i. Optimise models for compute efficiency, latency, and memory (e.g., GPU acceleration, model compression, distillation)
•Productization and Deployment
i. Collaborate with software teams to integrate models into production systems
ii. Contribute to inference pipelines and real-time deployment constraints
Preferred Qualifications
•CGPA: 7.5, No standing arrears
•Research/scientific background is desirable
•Knowledge and understanding of modern machine learning approaches is highly desirable
•Solid background in statistics and mathematics is desirable
•Experience with image processing / signal processing is a plus
•Experience with heterogenous parallel computing (including GPU) is a plus
•Good, demonstrated programming skills are desirable
•Analytical skills, problem-solving skills (quantitative & algorithmic)
•Interest in algorithm development & programming
•Ability to work in a team, and contribute to the team effort
•Proficiency in C++, Python and DL frameworks
We offer a competitive, family-friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment; while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA.
Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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.
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.
Benefits
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
Legal
KLA is proud to be an equal opportunity employer.