Associate Analyst, Algorithm Research and Development

KLA-Belgium; Chennai District; On-site; INR 900,000 - 1,800,000; Full time

Benefits offered by this job

Total rewards package

Inclusive environment

Job summary

KLA is seeking a ML Engineer to advance AI initiatives across our semiconductor inspection and metrology portfolio. You will work on large-scale image and sensor data, design and evaluate advanced DL models, and prototype experiments to push performance and reliability in production pipelines.

The role emphasizes collaboration with software teams to integrate models into inference pipelines and deployment constraints, with a strong focus on compute efficiency and scalability.

Qualifications

• Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years.
• Strong foundation in statistics and mathematics is desirable.
• Knowledge of image processing / signal processing is desirable.
• Proficiency in C++, Python and DL frameworks is essential.

Responsibilities

• Analyze large-scale image and sensor data from inspection systems.
• Design, train, and evaluate state-of-the-art deep learning models (CNNs, Transformers, diffusion models).
• Experiment with supervised, self-supervised, and semi-supervised learning approaches.
• Build rapid prototypes to validate new ideas and concepts.
• Develop data pipelines, training workflows, and model evaluation frameworks.
• Optimize models for compute efficiency, latency, and memory.

Skills

C++

Python

DL frameworks

Education

Master's Degree in CS/EE or related field

Tools

TensorFlow

PyTorch

Job description

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

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.

Roles and Responsibilities

• 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

• 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.

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

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.

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?

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.