Software Engineering Manager-AI/ML
About The Position
KLA is seeking a Software Engineering Manager to lead a team developing and deploying AI/ML solutions for advanced inspection and metrology products. The role combines technical leadership, team management, and strategic planning to drive innovation and enhance product capabilities through artificial intelligence and machine learning. The manager will guide AI/ML projects from conception through deployment, provide architectural direction for machine learning pipelines and lifecycle management, and support LLM applications and integration of AI services into enterprise applications. The role also partners with data, cloud, platform, security, legal, and governance teams to ensure solutions align with enterprise architecture and responsible AI requirements. The position is part of KLA's IT group, which supports business growth and productivity by connecting people, processes, and technology globally.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 10 years of experience in software engineering, ML/AI engineering, or applied data roles.
- At least 4 years of people management experience leading technical teams.
- Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
- Hands-on background with modern engineering practices, including APIs, CI/CD, testing, and observability.
- Ability to communicate effectively with technical and non-technical stakeholders.
Nice To Haves
- Experience managing teams building LLM-based applications or GenAI platforms.
- Familiarity with cloud platforms such as Azure, AWS, or GCP and modern data stacks.
- Exposure to MLOps practices, model monitoring, and AI governance frameworks.
- Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
Responsibilities
- Lead and mentor software engineers, fostering innovation, collaboration, and continuous improvement.
- Define, plan, and execute AI/ML software development projects from conception to deployment, meeting schedules, budgets, and quality standards.
- Provide architectural and design guidance for ML pipelines, model lifecycle management, LLM applications, and integration of AI services into enterprise applications.
- Review designs and key technical decisions for alignment with platform standards and best practices.
- Partner with data, cloud, and platform teams to align AI solutions with enterprise architecture.
- Collaborate with security, legal, and governance teams to meet responsible AI, privacy, and compliance requirements.
- Communicate status, risks, and outcomes to leadership and stakeholders.
- Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
- Establish responsible AI guardrails for data privacy, model risk, transparency, bias awareness, and auditability.
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Benefits
- Medical, dental, vision, life, and other voluntary benefits.
- 401(k) with 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.
- Participation in performance incentive programs may be available.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
