Company Overview
Job Description/Preferred Qualifications
We are looking for a Senior Algorithm Developer to join the AOI (Automatic Optical Inspection) team, working on the EcoNet product.
In this role, you will develop and deploy deep learning–based algorithms that operate as part of a complex, multi‑disciplinary inspection system, combining algorithms, software, system architecture, data, and field constraints.
Beyond strong algorithmic expertise, this position requires broad technical understanding and the ability to work across disciplines to turn advanced AI research into reliable, scalable, customer‑facing solutions.
For the right candidate, this role may also include technical leadership and team ownership.
- Design, develop, and optimize deep learning algorithms for AOI image analysis and inspection use cases
- Conduct applied research, translating state‑of‑the‑art DL methods into robust production solutions
- Take end‑to‑end ownership of algorithms: data analysis, model design, training, evaluation, optimization, and deployment
- Work with large-scale, real‑world data and continuously improve performance, robustness, and scalability
- Collaborate closely with software engineers, system architects, product, applications, and field teams
- Understand and account for system‑level constraints such as throughput, latency, deployment environment, and hardware
- Analyze failures, define KPIs, and drive continuous improvement based on production and field data
- (Optional / Growth Path) Provide technical leadership, mentor team members, and help shape the EcoNet algorithm roadmap
Required Qualifications
- M.Sc. or higher in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field
- At least 4 years of hands‑on experience in deep learning algorithm development
- Strong background in deep learning theory and practice (e.g., CNNs, transformers, representation learning, optimization)
- Extensive Python experience, including modern DL frameworks (e.g., PyTorch, TensorFlow)
- Proven ability to work on complex, multi‑disciplinary systems, beyond standalone research environments
- Strong analytical skills and experience working with large, noisy, real‑world datasets
- Ability to translate research ideas into production‑quality, maintainable code
- Work on advanced AI technology that directly impacts customer inspection systems
- A role that combines deep algorithmic challenges with real system and product influence
- Strong cross‑disciplinary collaboration within the AOI organization
- High ownership, autonomy, and a clear path toward technical leadership
- A dynamic environment dealing with real‑world constraints, scale, and complexity
Minimum Qualifications
- Experience developing production-grade DL systems end‑to‑end
- Experience with C++, especially for performance‑critical components
- Background in computer vision, image processing, or signal processing
- Experience working with distributed systems, inference services, or large‑scale deployment pipelines
- Demonstrated ability to lead technically, mentor others, or grow into a team lead role
- Exposure to industrial systems, high‑throughput pipelines, or customer‑facing products
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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 KLA’s 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 [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Skills Required
- M.Sc. or higher in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field
- At least 4 years of hands-on experience in deep learning algorithm development
- Extensive Python experience, including modern DL frameworks (e.g., PyTorch, TensorFlow)
- Experience developing production-grade DL systems end-to-end
- Experience with C++, especially for performance-critical components
- Strong background in deep learning theory and practice (e.g., CNNs, transformers, representation learning)
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
-
Retirement Support — Retirement offerings include a 401(k) plan with company matching and financial planning support. Student debt assistance and related financial benefits reinforce long-term savings and security.
-
Equity Value & Accessibility — Ownership programs include an Employee Stock Purchase Plan and broad-based RSU participation that extend equity beyond a narrow group. These elements complement competitive pay and bonuses to strengthen total rewards.
-
Leave & Time Off Breadth — Time-off programs span paid time off, paid company holidays, and paid volunteer time. Family care and bonding leave and back-up care services add flexibility during life events.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
