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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
KLA is seeking a motivated Principal AI Architect in our algorithm group at the AI & Modeling Center of Excellence in Ann Arbor, MI, USA. Join our team to create a strategic vision to transform the semiconductor industry, and work together on some of the most challenging engineering problems!
In this position, you will bring your strong academic background and proven industry experience to develop a comprehensive strategy for Artificial Intelligence and pursue differentiation opportunities for innovative industrial analytics. You will provide technical domain expertise, mentorship, and visionary leadership in a highly collaborative team to research, develop, and deliver production-grade systems involving Deep Learning.
In this role, you will:
Lead the strategy for designing architectures for Artificial Intelligence systems, including specifying system and sub-system requirements.
Create and drive differentiation opportunities to improve industrial data analytics with deep learning.
Collaborate with research and engineering teams to integrate the optimal solutions
Qualifications:
8+ years of experience in an industry environment architecting production-scale Machine Learning systems
Proven experience developing business solutions for AI
Experience designing systems using cloud-based high-performance computing infrastructure (e.g., AWS, Azure, Google) for Deep Learning workloads is preferred
Great teammate with excellent written and verbal communication skills.
Hybrid Work:
This position allows flexibility and may require at least 3 days a week at the office.
Minimum Qualifications
PhD in Applied Math, EE, Computer Science, Data Science or a related field preferred with 8 years of work experience OR
Master's Level Degree with 10+ years of work experience
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 or at +1-408-352-2808 to request accommodation.
KLA-Tencor is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.