Algorithm Engineer Deep Learning (E)

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

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.

We are looking for a full-time Deep Learning Algorithm Engineer who is passionate about pioneering Deep Learning (DL) foundation models and GenAI for image processing and computer vision applications in the semiconductor process control business.

Qualified candidates are expected to have a strong background and in-depth experience in deep learning especially in object detection segmentation vision foundation models and multimodal models. Candidates should also have a deep understanding of relevant theory and hands-on experience grounding DL models in a real application domain.

The ideal candidate can work independently across the full deep learning project lifecycle including conceptualizing exploring designing implementing and deploying. Responsibilities for this position include but are not limited to:
Understand state-of-the-art (SOTA) deep learning and GenAI models.
Connect SOTA DL modeling approaches to domain problem statements.
Analyze modeling requirements based on product feature requirements.
Design deep learning and GenAI models to meet modeling requirements.
Implement modeling prototypes and perform analysis.
Perform model training and/or tuning on domain datasets.
Evaluate and validate model performance against defined metrics.
Analyze model performance bottlenecks.
Design new DL modules or components to improve performance.
Optimize DL or GenAI model throughput and/or cost.
Perform A/B testing between models on real data.
Work and communicate collaboratively with peers.
Present ideas concepts and results in professional technical settings.

Qualifications/Education Desired
Ph.D. in Electrical Engineering Computer Science or related quantitative fields.
Academic or industrial experience applying deep learning or GenAI to real-world problem(s) with impactful results.
In-depth experience applying deep learning Vision Foundation Models (VFM) or Vision Language Models (VLM) in at least one of the following areas: computer vision image processing robotics NLP or equivalent.
Experience with GenAI coding tools vibe coding or vibe engineering.
Proficiency in Python and one additional programming language from: C Java Rust Go.
Proficiency in at least one deep learning framework (e.g. PyTorch TensorFlow JAX or equivalent).
Demonstrated deep learning expertise via technical publications in top conferences (e.g. NeurIPS CVPR ICML ICLR KDD SIGGRAPH etc.) and/or industrial patents and/or impactful open-source projects is required.
Travel required: up to 10%.
Experience with DL model optimization for reduced precision (e.g. FP8 FP4) is a plus.
Experience with VFM pretraining or post-training is a plus.
Experience in semiconductor process control is a plus.

Minimum Qualifications

Doctorate (academic) degree with 0 years of related work experience; or Masters degree with 3 years of related work experience.

Academic or industrial experience applying deep learning or GenAI to real-world problem(s) with impactful results.
Demonstrated deep learning expertise via technical publications in top conferences (e.g. NeurIPS CVPR ICML ICLR KDD SIGGRAPH etc.) and/or industrial patents and/or impactful open-source projects is required.
Travel required: up to 10%.

Base Pay Range: $136300.00 - $231700.00

Primary Location: USA-CA-Milpitas-KLA

KLAs 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.