Algorithm Engineer - Deep Learning at KLA Corporation — CAN | Base Career

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Job Description And Preferred Qualifications

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/GenAI models in real application domains, with strong emphasis on performance, efficiency, and deployment.

The ideal candidate can work independently across the full deep learning project lifecycle, including conceptualizing, exploring, designing, implementing, optimizing, and deploying models.

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 and optimize DL model architectures, including new modules, efficient backbones, and model compression techniques (e.g., distillation).

Optimize DL or GenAI model throughput and cost, including mixed-precision and low-precision inference and training (e.g., FP16, FP8).

Work and communicate collaboratively with peers.

Present ideas, concepts, and results in professional technical settings.

Qualifications And Education Desired

Doctorate (academic) degree with 0 years of related work experience; or Master’s 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.

Required experience with DL model optimization/distillation for mixed or reduced precision (e.g., FP16, FP8) to improve throughput, latency, and deployment efficiency.

Travel required: up to 10%.

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 talent.acquisition@kla.com or at +1-408-352-2808 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.

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KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.

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Algorithm Engineer - Deep Learning

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Full Job Posting

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Qualifications And Education Desired

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