1 day ago
Base Salary
$136k - $200k/yr
Responsibilities
- Design and develop production-quality software for AI-driven equipment diagnostics, monitoring, and predictive maintenance.
- Build agentic AI frameworks integrating LLMs with engineering and equipment data systems.
- Develop software interfaces for hardware platforms, equipment telemetry, machine control systems, and manufacturing data sources.
- Integrate AI technologies with streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
- Build secure APIs, services, and orchestration layers for intelligent workflows and automated decision-making.
- Develop high-performance data pipelines that convert equipment and operational data into actionable insights.
- Create user experiences and modern web applications for troubleshooting and equipment diagnostics.
- Collaborate with software, systems, hardware, data science, and product engineering teams on end-to-end solutions.
- Deploy and support solutions in secure, customer-controlled semiconductor manufacturing environments.
- Drive software design, code quality, testing, and continuous improvement across the platform.
Requirements
- Bachelor’s or master’s degree in computer science, software engineering, computer engineering, electrical engineering, or a related technical field.
- 5+ years of professional software engineering experience developing production applications.
- Strong Python skills and proficiency in at least one object-oriented language such as Java, C++, or C#.
- Experience developing scalable backend services, APIs, databases, and distributed software systems.
- Experience with hardware-integrated software, industrial equipment, manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
- Experience building data-intensive applications using SQL, NoSQL, streaming platforms, or large-scale data processing technologies.
- Familiarity with cloud-native development, CI/CD pipelines, source control, automated testing, and modern software engineering practices.
- Strong analytical and troubleshooting skills across multidisciplinary engineering teams.
- Preferred experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
- Preferred experience with LLM applications, agentic AI frameworks, RAG, tool or function calling, and AI orchestration frameworks.
- Preferred experience with vector databases, knowledge graphs, machine learning pipelines, predictive analytics, React-based interfaces, diagnostics, predictive maintenance, reliability engineering, operational analytics, or secure and air-gapped deployments.
Benefits
- Base benefits may include medical, dental, vision, life, voluntary benefits, 401(k) with company matching, an employee stock purchase program, student debt assistance, tuition reimbursement, career development programs, financial planning benefits, wellness benefits, paid time off, paid company holidays, and family care and bonding leave.
- The primary location is KLA’s Milpitas, California site, and the role supports software deployed in semiconductor manufacturing facilities worldwide.
About KLA
KLA builds process control, inspection and metrology systems used to manufacture semiconductor wafers, reticles, advanced packaging, printed circuit boards, and displays, and sells related software and services to chipmakers and electronics manufacturers. Its business model centers on capital equipment sales plus service and support contracts. Headquartered in Milpitas, California, KLA traces its origins to the 1997 KLA-Tencor merger and is publicly traded on NASDAQ under the ticker KLAC.