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 world’s leading technology providers to accelerate the delivery of tomorrow’s 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
- 设计、开发并维护面向 PCB 制造与几何处理场景的核心 DFM 软件模块，主要使用 C/C++。
Design, develop, and maintain core DFM software modules in C/C++ for PCB manufacturing and geometry-processing applications.
- 构建并持续增强可制造性分析、规则检查、补偿、优化与特征变换等算法能力。
Build and enhance algorithmic capabilities for manufacturability analysis, rule checking, compensation, optimization, and feature transformation.
- 将制造工艺知识和工程需求转化为可靠、可扩展、可维护的软件解决方案。
Translate manufacturing knowledge and engineering requirements into robust, scalable, and maintainable software solutions.
- 参与处理高几何复杂度的问题域，包括间距、净距、蚀刻补偿、过孔与焊盘处理、信号优化、铜面与表面处理等相关 DFM 工作流。
Work on geometry-heavy problem domains such as spacing, clearance, etch compensation, via and pad handling, signal optimization, copper and surface processing, and related DFM workflows.
- 持续提升大型长期维护型生产代码库的性能、稳定性和软件质量。
Improve system performance, stability, and software quality in a large, long-lived production codebase.
- 定位并解决算法、数据处理和工作流集成中的复杂技术问题。
Debug complex technical issues across algorithms, data handling, and workflow integration.
- 与领域专家、产品团队和其他工程师合作，定义需求、验证行为并交付可投入生产的功能。
Collaborate with domain experts, product teams, and other engineers to define requirements, validate behavior, and deliver production-ready features.
- 参与代码评审、技术方案讨论、可测试性提升以及工程栈的持续演进与现代化。
Contribute to code reviews, technical design discussions, testability improvements, and ongoing modernization of the engineering stack.
- 支持边界场景和客户影响问题的分析与修复，强调根因定位与高可靠性交付。
Support investigation of edge cases and customer-impacting issues, with a strong focus on root-cause analysis and reliable fixes.
Minimum Qualifications
- 计算机科学、软件工程、电子工程、数学或相关专业本科及以上学历。
Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related field.
- 5 年及以上软件开发经验，具备扎实的 C 和/或 C++ 实战开发能力。
5+ years of professional software development experience, with strong hands-on experience in C and/or C++.
- 在数据结构、算法以及面向性能敏感型系统的软件设计方面具备扎实基础。
Solid foundation in data structures, algorithms, and software design for performance-sensitive systems.
- 有复杂工程软件、算法系统或几何密集型应用的开发或维护经验。
Proven experience developing or maintaining complex engineering software, algorithmic systems, or geometry-intensive applications.
- 具备在大型代码库中进行复杂问题调试和根因定位的能力，并能交付长期有效的解决方案。
Strong debugging and problem-solving skills in large codebases, including the ability to isolate root causes and deliver durable solutions.
- 具备计算几何、规则处理、CAD/CAM/EDA 系统或类似技术领域经验者优先。
Experience with computational geometry, rule-based processing, CAD/CAM/EDA systems, or similar technical domains is strongly preferred.
- 有 PCB、DFM、CAM、制造工程软件或其他工业/工程类软件背景者优先。
Experience in PCB, DFM, CAM, manufacturing engineering software, or other industrial or engineering software domains is highly desirable.
- 熟悉单元测试、回归分析、代码评审和受控发布等软件质量实践。
Familiarity with software quality practices such as unit testing, regression analysis, code review, and controlled release processes.
- 有在遗留系统与演进中架构并存环境下工作的经验，能够平衡产品连续性与技术改进。
Experience working across legacy systems and evolving architectures, balancing product continuity with technical improvement.
- 具备很强的分析思维，能够将复杂工程问题拆解为可落地的软件方案。
Strong analytical thinking and the ability to break down complex engineering problems into practical software solutions.
- 具备较强的责任心、主人翁意识和质量导向。
High sense of ownership, accountability, and quality orientation.
- 具备良好的沟通能力，能够与软件工程师及领域专家高效合作。
Good communication skills, with the ability to work effectively with both software engineers and domain experts.
- 能够独立推动复杂任务，同时具备良好的跨职能协作能力。
Ability to work independently on complex tasks while also collaborating well in cross-functional teams.
- 好奇心强、注重细节，愿意深耕技术复杂度高的问题领域。
Curious, detail-oriented, and comfortable working in technically deep problem spaces.
- 具备务实的工程判断力，能够在正确性、性能、可维护性和交付效率之间做出合理权衡。
Pragmatic mindset with good engineering judgment on trade-offs among correctness, performance, maintainability, and delivery speed.
- 能够适应大型成熟代码库和真实生产约束下的开发环境。
Resilient and adaptable when working in large, mature codebases with real production constraints.
- 对构建能够为制造、工程与产品质量带来可衡量价值的软件有真实兴趣。
A genuine interest in building software that delivers measurable value to manufacturing, engineering, and product quality.
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.
