Computer Vision/Machine Learning Engineer

KLA
paid time off, tuition reimbursement, 401(k)
United States, California, Milpitas
Nov 08, 2024
Base Pay Range: $124,100.00 - $211,000.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview 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 KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry. This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification. In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement. This position involves developing advanced image processing algorithms for the wafer inspection and review. Designs and develops cutting edge image processing and machine learning algorithms. Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites. Support the adoption of eBeam solutions at customer sites. Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems. Qualifications Ph.D. , Masters with 3-6 years' experience, or bachelor's with 5-8 years' experience. (Candidates from EE, CS and Mathematics background would be preferred) The ideal candidate will have an in-depth knowledge ofComputer Vision and Traditional Image ProcessingTechniques. Knowledge of Deep Learning with working experience in Tensor Flow, PyTorch etc. Working experience in one or more of the following DL techniques: GANs, Diffusion Models, Semantic Segmentation with focus on Image Restoration tasks. Ability to formulate problems into mathematical equations. Proficiency in computational methods, C++, and object-oriented design. Team player with good written and verbal communication skills. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.