{"id":3022288,"url":"https://alion.io/job/kla-corporation-engr-algorithm","title":"Engr, Algorithm","company":{"id":2407,"name":"KLA Corporation","domain":"kla.com","url":"https://alion.io/company/kla","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":82,"ghost_share":0,"stale_share":0.402,"repost_share":0.012,"time_to_fill_p50_days":59,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hwaseong, South Korea","Icheon, South Korea"],"countries":["KR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5256},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-25T13:09:24Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"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.\nGroup/Division\nThe 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 Film and Scatterometry Technology (FaST) division delivers industry-leading metrology solutions essential to advanced semiconductor manufacturing. Its portfolio includes systems for measuring film thickness, critical dimensions, composition, and resistivity-key to developing and scaling next-gen IC processes. FaST partners closely with customers from early R&D through high-volume production, ensuring performance and process alignment.What You'll Do\nIn this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.\nStrong experience developing, validating, and deploying machine learning or deep learning solutions for engineering or scientific applications.\nProficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn; C++ experience is a plus.\nExperience with statistical analysis, model validation, optimization, and large-scale data analysis.\nKnowledge of semiconductor process control, metrology, optical systems, imaging, or related technologies is highly desirable.\nFamiliarity with physics-based modeling, optics, computational imaging, RCWA, or inverse problem solving is a plus.\nExperience with MLOps, cloud/GPU computing, or high-performance computing environments is advantageous.\nStrong problem-solving, communication, and customer-facing skills.\nAbility to work effectively in a global, cross-functional engineering environment and manage multiple priorities.\nMinimum Qualifications\nBachelor's degree with 5+ years, Master's degree with 3+ years, or Ph.D. with relevant experience in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related field.\nExperience developing and deploying machine learning, deep learning, optimization, signal processing, imaging, or data analysis algorithms.\nStrong programming skills in Python and experience working with complex technical datasets.\nDemonstrated ability to collaborate across engineering disciplines and drive solutions from concept to production.\nWillingness to support significant customer-facing activities in Korea.\nAbout KLA\nWe 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.\nUse of AI Statement\nAt 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.\nWe offer a competitive, family friendly total rewards package. 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