Engineer, Artificial Intelligence
KLA — Chennai, Tamil Nadu
₹3–7 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time
HireSetu listing reference b96a2d — confirm requirements below, then apply on the employer site.
Quick answer: A machine learning group inside KLA's EBeam division, building algorithms that sharpen semiconductor inspection tools. Either a master's with no work experience or a bachelor's plus two years of related work clears the bar.
From KLA's job posting
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.
The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices.
Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively.
Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time.
EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.
Job Description/Preferred Qualifications
You will be part of a machine learning group that develops algorithms and software solutions that enhance the performance of our inspection tools.
Your responsibilities will include
- Data/problem analysis
- Research the solution space
- Develop concepts
- Prototype and validate concepts
- Specify software requirements
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
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.
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. com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
The employer’s company overview, benefits and equal-opportunity statement are left out here; they are on the original posting.
Text from KLA's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
The degree maths is strict
A master's degree with zero experience gets you in, or a bachelor's with two years of related work. Two years is not much time, so that second route only makes sense if those years went into machine learning, algorithms or imaging code. A master's in computer vision or deep learning with a real thesis sits in the middle of what KLA describes. Two years of general backend or web work won't read as related, however strong the engineering.
Research and engineering in one job
The work runs as a loop: understand the problem and the data, study what has already been tried, form a concept, build a prototype, prove it holds up, then write the requirements that turn it into shipped software. Productisation is named in the listing, so that last step is a real part of the job and not an afterthought. Expect weeks spent reading and analysing, and weeks spent fighting code and data pipelines. Anyone who only wants to train models will find the packaging side tedious.
Learn the data before the model
KLA's EBeam tools image wafers to find defects and critical locations at very high resolution, and this group's algorithms improve how well they do it. That points to image data, heavy class imbalance, very small objects, and a factory floor where one missed defect is expensive. You don't need fab physics on day one, but being able to look at a noisy wafer image and ask sensible questions about it matters. A thesis on small-object detection or anomaly detection maps onto this work cleanly.
A narrow field with deep roots
Semiconductor process control is a small industry, and KLA is one of its biggest names. Two years here buys you imaging and ML experience that travels well to industrial vision, medical imaging and other inspection companies. The trade-off is a specialised vocabulary, so the longer you stay, the more your next move looks like another chip tooling company. Ask which EBeam product you'd be attached to, since the tools themselves live in a lab.
Drafted with AI from KLA's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
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