Software Engineering Manager-AI/ML
About The Position
KLA’s IT group supports business growth and productivity by connecting people, processes, and technology around the world. The Software Engineering Manager will lead and manage a team of software engineers developing and deploying AI/ML solutions for KLA’s advanced inspection and metrology products. The role combines technical leadership, team management, and strategic planning to advance product capabilities through artificial intelligence and machine learning. The manager will guide AI/ML software development from conception through deployment, provide architectural and design direction, and ensure systems meet standards for reliability, monitoring, cost management, and incident response. The role also partners with data, cloud, platform, security, legal, and governance teams to align solutions with enterprise architecture and responsible AI requirements. KLA develops advanced inspection tools, metrology systems, process solutions, and computational analytics for electronics manufacturing.
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 how AI/ML systems 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 through 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 project 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 covering data privacy, model risk, transparency, bias awareness, and auditability.
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
- Coach and provide feedback to team members, and contribute to performance management and hiring.
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
- Paid company holidays
- Family care and bonding leave
- Performance incentive programs may be available
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What This Job Offers
Job Type
Full-time
Career Level
Manager
