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Software engineer

KLA Corporation

Software engineer

full-timePosted: Aug 2, 2026Updated: Sep 1, 2026India, Chennai

Job Description

Company OverviewKLA 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/DivisionWith 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. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.Job Description/Preferred QualificationsRole DescriptionOur engineering team builds software and hardware solutions that leverage chip design and layout data to power wafer inspection and defect classification across KLA’s optical and eBeam platforms. These systems operate at scale and are central to delivering high-throughput, high-accuracy inspection for leading semiconductor manufacturers.As a software engineer, you will work across the stack—developing applications and contributing to the design and validation of the high-performance compute systems that run them. You will collaborate closely with hardware, algorithms, and systems teams, translating complex requirements into scalable, production-ready solutions.We are looking for engineers with strong learning agility and communication skills who take ownership of unfamiliar problems, ramp quickly in new domains, and leverage modern AI and agentic coding tools to improve development velocity and solution quality.Key ResponsibilitiesDesign, develop, and maintain software components for inspection and review systemsWork across the stack: UI, backend services, and system integrationRapidly ramp on new domains and take ownership of ambiguous or unfamiliar problemsCollaborate with hardware and end users to define, specify, and validate solutionsCommunicate clearly in design discussions, code reviews, and cross-team interactionsOptimize performance for compute-intensive workloads and system-level efficiencyLeverage and experiment with AI / agentic coding tools to accelerate development and improve outcomesContribute to code quality, testing, CI/CD, and shared engineering practicesRequired QualificationsBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fieldMS +0–3 years or BS +2–5 years of software development experienceStrong proficiency in C++ and experience working in Linux environmentsSolid fundamentals in data structures, algorithms, and software designDemonstrated ability to learn quickly and solve complex problemsStrong written and verbal communication skillsPreferred QualificationsExperience with high-performance computing or distributed systemsFamiliarity with semiconductor, inspection, or similar complex systemsExposure to hardware/software co-design or system-level performance tuningExperience with frontend (e.g., React) and backend servicesFamiliarity with containerization (e.g., Docker)Experience using AI-assisted or agentic development tools in real workflowsMinimum QualificationsMaster's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 yearsWe 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 employerBe 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Locations

  • India, Chennai

Skills Required

  • C++intermediate
  • high-performance computingintermediate
  • semiconductorintermediate
  • frontendintermediate
  • containerizationintermediate
  • AI-assistedintermediate

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (degree in master)
  • MS +0–3 years or BS +2–5 years of software development experience (experience, 3 years)
  • Strong proficiency in C++ and experience working in Linux environments (experience)
  • Solid fundamentals in data structures, algorithms, and software design (experience)
  • Demonstrated ability to learn quickly and solve complex problems (experience)
  • Strong written and verbal communication skills (experience)
  • Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years (experience)
  • 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. (experience)

Preferred Qualifications

  • Experience with high-performance computing or distributed systems (experience)
  • Familiarity with semiconductor, inspection, or similar complex systems (experience)
  • Exposure to hardware/software co-design or system-level performance tuning (experience)
  • Experience with frontend (e.g., React) and backend services (experience)
  • Familiarity with containerization (e.g., Docker) (experience)
  • Experience using AI-assisted or agentic development tools in real workflows (experience)

Responsibilities

  • Design, develop, and maintain software components for inspection and review systems
  • Work across the stack: UI, backend services, and system integration
  • Rapidly ramp on new domains and take ownership of ambiguous or unfamiliar problems
  • Collaborate with hardware and end users to define, specify, and validate solutions
  • Communicate clearly in design discussions, code reviews, and cross-team interactions
  • Optimize performance for compute-intensive workloads and system-level efficiency
  • Leverage and experiment with AI / agentic coding tools to accelerate development and improve outcomes
  • Contribute to code quality, testing, CI/CD, and shared engineering practices

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