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. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.
Job Description/Preferred Qualifications
KLA is seeking an experienced Algorithm Engineer to join the Algorithm Group within the Reticle Product Division. This role focuses on the design and development of advanced algorithms for KLA’s innovative inspection platforms, using expertise in image processing, computer vision, mathematics, and software engineering.
Key Responsibilities
Algorithm Development
Design and implement advanced algorithms for image segmentation, classification, and defect detection tailored to inspection systems
Translate complex requirements into generalized mathematical models and develop customized algorithmic solutions
Innovation and Execution
Drive innovation by proposing novel approaches and delivering production-quality, maintainable code
Collaborate with field teams and customers to support algorithm deployments and ensure seamless integration of algorithmic solutions to inspection systems at customer sites, including occasional international travel
Software Engineering
Develop robust, scalable software using modern C++ and object-oriented programming principles
Contribute to long-term codebase health through thoughtful design, refactoring, and clear documentation
CUDA C++ and GPU-accelerated computing
Cross-functional Collaboration
Preferred Qualifications
PhD or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a related field.
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
Base Pay Range: $136,300.00 - $231,700.00 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 including but not limited to: 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.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
