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
We are seeking a self-motivated Research Scientist to join the RAPID Advanced Technology team. In this role, you will be responsible for designing, analyzing, and validating performance of advanced optical inspection platforms. The ideal candidate has deep expertise in optical physics, imaging and electromagnetism, and combines strong analytical skills with handson modeling, simulation, and data analysis experience.
You will work closely with technology, engineering and applications teams to investigate new methods to improve optical detection of reticle defects.
Key Responsibilities
- Perform electro-magnetic simulations and data analysis to model and validate system performance
- Conduct feasibility investigations of novel algorithm or system concepts to meet inspection challenges
- Work closely with engineering teams on prototype design, implementation and tool performance validation
- Present the results and findings to the team and management
Qualifications
- Strong background in Electrical Engineering, Physics or Optical Imaging
- Demonstrated analysis and problem-solving skills
- Consistent record to applying fundamental principles of electromagnetism and optics to optical imaging or measurement problems.
- Handson experience with electromagnetic and optical image modeling and simulation tools. Or, hands-on experience with computational imaging methods.
- Proficiency in image and signal processing and statistics using MATLAB, Python or other relevant software.
- Ability to clearly communicate complex technical concepts and tradeoffs to crossfunctional teams.
- Ability to work both independently and collaboratively within a multi-functional team environment.
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.
