Principal Algorithm Engineer (E)
KLA Corporation
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.Job Description/Preferred Qualifications
Principal Algorithm Engineer's are core to KLA’s technology, while we do not currently have an opening, we are always building our Principal Algorithm Engineering talent community, we are interested in learning about your background.
Apply to this posting for Future Opportunities with KLA.
KLA is seeking a motivated principal/staff algorithm engineer in our algorithm group in the AI & Modeling Center of Excellence in Ann Arbor, MI, USA. In this position, you will bring your strong academic background and proven industry experience to develop and integrate algorithms into KLA’s innovative inspection platforms. You will provide technical domain expertise, mentorship, and hands-on leadership in a highly collaborative team to research, develop, and deliver production-grade algorithms involving Deep Learning, Computer Vision, Image Processing, Artificial Intelligence and Machine Learning techniques.
In this role, you will:
- Lead a team in delivering novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis
- Drive adoption of deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space
- Architect design and implement data management, model training and inference flows and collaborate with software and computer groups
- Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and support and mentor team members
- Interact with other specialists and leadership in Ann Arbor and global project teams
Qualifications:
- 8+ years of experience in an industry environment architecting production-scale algorithms using DL and Computer Vision.
- Full stack hands-on experience with data and backend infrastructure and front-end user interface is required.
- Proven leadership or mentorship within a team of engineers delivering projects with a multiple-person-year scope is preferred
- Experience prototyping Algorithms using MATLAB or Python
- Implementing algorithms in C++ software is required
- Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools
- Great teammate with excellent written and verbal communication skills.
Hybrid Work:
- This position allows flexibility and may require at least 3 days in a week at the office.
Qualifications:
- PhD in Applied Math, EE, Computer Science, Data Science or a related field preferred with 8 yrs of work experience OR
- Master's Level Degree with 10+ yrs of work exp.
Minimum Qualifications
Doctorate (Academic) Degree and 5 years experience ; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 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.