KLA-posted 4 months ago
$123,000 - $209,100/Yr
Full-time • Senior
Ann Arbor, MI
5,001-10,000 employees

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 real-time big data analytics to design, scale, and optimize high-impact 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.

  • 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
  • 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
  • Strong programming skills in C++ and C#
  • Deep expertise in real-time data processing, streaming architectures, and AI/ML workflows
  • Experience with Apache Arrow or similar in-memory columnar data formats
  • Proficiency in both Linux and Windows development environments
  • Familiarity with microservices architecture and containerization tools like Docker and Kubernetes
  • Medical, dental, vision, life, and other voluntary benefits
  • 401(K) including company matching
  • Employee stock purchase program (ESPP)
  • Student debt assistance
  • Tuition reimbursement program
  • Development and career growth opportunities and programs
  • Financial planning benefits
  • Wellness benefits including an employee assistance program (EAP)
  • Paid time off and paid company holidays
  • Family care and bonding leave
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