Company Overview
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.
Group/Division
The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job
Description/Preferred
Qualifications
The
Senior Software Engineer
builds and supports software systems that enable
AI-driven capabilities
in products and internal platforms. This role focuses on developing
reliable services, APIs, and workflows
that integrate machine learning and generative AI (where applicable) into real-world applications. The engineer works closely with AI/ML engineers, data engineers, and product partners to deliver features from design through production support.
Key Responsibilities
Develop backend services and APIs that integrate AI/ML capabilities into applications (e.g., inference endpoints, orchestration services, workflow automation).
Implement business logic around AI outputs, including validation, confidence handling, fallback behaviors, and human-in-the-loop patterns where needed.
Build integration layers to connect AI services with enterprise systems and data sources.
Own delivery of
highly complex features/components
with limited guidance: break down tasks, estimate effort, and deliver on schedule.
Write clean, maintainable code with appropriate abstractions and documentation.
Build robust testing (unit/integration) and ensure features meet performance, reliability, and security expectations.
Instrument services with logging, metrics, and tracing; support production monitoring and incident triage.
Troubleshoot issues across environments and participate in on-call/operational support rotations as applicable.
Apply basic responsible AI practices—logging, transparency, and guardrails—based on established team standards.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
5–7 years
of professional software engineering experience delivering production applications/services.
Proficiency in at least one modern language such as
Python, C#,
etc..
Experience building
APIs/services
, working with databases, and shipping features via CI/CD pipelines.
Solid understanding of software engineering fundamentals: data structures, debugging, testing, and code quality.
Experience supporting
AI or ML-enabled applications
(e.g., integrating inference services, building orchestration around model outputs).
Familiarity with
LLM application patterns
(prompt orchestration, RAG basics, tool/function calling) and evaluation concepts.
Nice to Have
Experience with cloud platforms (e.g.,
Azure/AWS/GCP
) and containerization (Docker/Kubernetes).
Exposure to event-driven systems (queues/streams) and observability tooling.
Experience with basic front-end development or building AI-assisted UX flows.
Core Skills
Backend Engineering:
REST APIs, services, async processing, microservice patterns
Software Quality:
unit/integration testing, CI/CD, code reviews, documentation
Operations:
logging/metrics/tracing, performance tuning, incident triage
AI Integration (preferred):
model inference integration, orchestration, guardrails/fallbacks
Data Fundamentals:
SQL basics, data contracts, working with structured/semi-structured data
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
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
talent.acquisition@kla.com
to
confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
