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You will be updated with latest job alerts via email$ 123000 - 209100
1 Vacancy
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 worlds leading technology providers to accelerate the delivery of tomorrows 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
Senior Algorithm Engineers are core to KLAs technology while we do not currently have an opening we are always building our Algorithm Engineering talent community we are interested in learning about your background.
Apply to this posting for Future Opportunities with KLA.
Are you a seasoned algorithm expert ready to take on complex high-impact challenges in the semiconductor industry Were looking for a Senior Algorithm Engineer to drive innovation in image processing computer vision and defect detection for state-of-the-art inspection systems.
In this role youll go beyond implementationyoull architect optimize and lead the development of advanced algorithms that push the boundaries of whats possible in high-resolution imaging and real-time analysis. Youll work closely with cross-functional teams to define technical direction validate performance and ensure seamless integration into production systems.
What Youll Do:
Design and optimize cutting-edge algorithms for image processing inverse problems and computer vision
Prototype in Python or MATLAB and implement high-performance solutions in C on Linux
Accelerate algorithm performance using CUDA/GPU programming
Collaborate with systems software and hardware teams to translate complex requirements into scalable solutions
Lead technical discussions mentor junior engineers and contribute to long-term algorithm strategy
What You Bring:
5 years of hands-on experience in image processing computer vision or machine learning in a production environment
Deep expertise in spectral/spatial filtering model-based methods and inverse problem solving
Strong proficiency in C with experience developing on Linux platforms
Proven ability to prototype and validate algorithms in Python or MATLAB
Familiarity with CUDA TensorFlow or other GPU-accelerated frameworks is a strong plus
Experience architecting algorithms from the ground up and solving real-world vision challenges at scale
Why Join Us
Work on mission-critical technology that powers the semiconductor industry
Be part of a high-caliber team where your expertise drives innovation
Enjoy a hybrid work model with 3 days in the office and flexibility built in
Grow your impact through technical leadership cross-functional collaboration and continuous learning
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Masters Level Degree and related work experience of 6 years; Bachelors Level Degree and related work experience of 8 years
Base Pay Range: $123000.00 - $209100.00Primary Location: USA-MI-Ann Arbor-KLAKLAs 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.
KLA is proud to be an Equal Opportunity Employer. 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- to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Required Experience:
Senior IC
Full-Time