Senior Software Engineer – AI Data Pipelines & Real-Time Big Data Systems
New Today
Description
/Preferred Qualifications 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
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.
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
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
Base Pay Range: $123,000.00 - $209,100.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
- Location:
- Ann Arbor
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