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Company Overview
Group/Division
Job Description/Preferred Qualifications
Summary
Build cutting‑edge C++ software for next‑gen mask inspection systems. Work with cross‑functional experts and tackle complex, high‑impact engineering challenges. AI/ML experience is a big plus.
Description
KLA RAPID Divisionis seeking a highly motivated individual with strong foundation in C++ programming and interest in data analysis. The ideal candidate will demonstrate good problem‑solving and debugging skills and will work on multi‑threaded and multi‑process programming environments. Experience with AI-assisted (agentic) development methodologies or hands-on working experience with machine learning (ML) is a strong plus.
In this role, you will develop inspection and data analysis software for advanced mask inspection systems. You will work closely with experienced software engineers and collaborate with multidisciplinary engineering teams-including electrical, mechanical, optical, algorithm, and software teams-to gain domain knowledge and help solve system‑level challenges.
Key Responsibilities
Design and develop inspection software and data analytics solutions for advanced mask inspection systems.
Collaborate with cross‑functional engineering teams to define and implement system requirements.
Optimize and maintain existing codebases to ensure performance, scalability, and reliability.
Provide support during beta‑site ramp‑up and handle escalations from customer sites.
Preferred Qualifications
BS or MS in Computer Science, Engineering, or a related field.
Proven experience in C++ programming, object‑oriented design, and design patterns.
Strong background in data analysis, including statistical summaries and predictive modeling.
Proficiency in Linux‑based development environments.
Strong leadership qualities, teamwork skills, and motivation for team success.
AI/ML experience with large‑dataset model development is a plus.
Familiarity with machine learning frameworks and workflows.
Familiarity with frontend development stacks such as Qt or other modern UI frameworks (Electron, Gtk).
Familiarity with containerization technologies (Docker, Singularity) for packaging software services.
Minimum Qualifications
Master's Level Degree and 0 years related work experience Bachelor's Level Degree and related work experience of 2 years
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 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.
KLA Corporation is a capital equipment company based in Milpitas, California. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries. The company's products and services are intended for all phases of wafer, reticle, integrated circuit (IC) and packaging production, from research and development to final volume manufacturing.
Job ID: 147447641
Skills:
Qt Framework, Git, Visual Studio, AI-powered development tools, GitHub Copilot, VS Code
Skills:
Java, C, Microsoft Office 365, Cassandra, Node.js, Sql, Gcp, Javascript, Docker, Elasticsearch, Agile, Microsoft Azure, MongoDB, Restful Apis, Kubernetes, Python, AWS, Lean, micro-services, no-SQL, test-driven development, LXD, LXC
Skills:
Ipv4, Networking Concepts, Ipv6, DHCP, data structures, Python, Algorithm Design, Java, Testing, Linux, Coding Standards, complexity analysis, operations, object-oriented design, network stack internals, WiFi software development, 802.11, build processes, code reviews, 802.3, Problem Solving, source control management, full software development life cycle, 802.11 protocols, Ethernet network security protocols, computer science fundamentals, WiFi
Skills:
semantic modeling , Algorithm Design, Distributed Systems, data structures, embeddings, complexity analysis, Problem Solving, recommendation systems, object-oriented design, semantic AI, large-scale experimentation frameworks, Large Language Models
Skills:
Bash Scripting, Docker, Python, multi-threading, Openmp, Gdb, concurrency, Debugging Tools, Cuda, Linux, Kubernetes, MPI, UCX, VTune, Singularity, Nsight, PERF, performance profiling, microservices observability tools, GPU architectures, HPC frameworks, SLURM, ROCm, IPC socket programming, SHMEM, distributed computing systems
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