KLA Senior Software Engineer – AI Data Pipelines & Big Systems 

United States, Michigan, Ann Arbor 

211140094

JobQualifications

Are you ready to build, lead, and innovate at the forefront of AI? We’re looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and big data to design, scale, and optimize high-impact enterprise systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future—this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now!

• Collaborate with brilliant minds across data science, ML engineering, and product strategy
• Build scalable systems that power real-time insights and intelligent automation
• Be part of a team that values creativity, ownership, and continuous growth

Job Duties, but not limited to:

• Designing and implementing AI training data pipelines to support scalable machine learning workflows
• Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics
• Developing high-performance in-memory data processing solutions using modern frameworks
• Architecting and delivering microservices-based platforms across Linux and Windows environments
• Leading design reviews, mentoring engineers, and crafting technical strategy
• Ensuring code quality, performance, and maintainability through standard processes

Qualifications, but not limited to:

• Advanced degree in Computer Science, Engineering, or a related field
• 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems.
• Experience with enterprise application development
• Strong programming skills in C++ and C#
• Deep expertise in data processing, streaming architectures, and AI/ML workflows
• Experience with big data systems; CUDA, Apache Arrow. gRPC or similar in-memory columnar data formats
• Proficiency in both Linux and Windows development environments
• Familiarity with microservices architectureand containerizationtools like Docker and Kubernetes

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

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