To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/Division
KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.What You'll Do
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
We are looking for a Software Engineering Manager to lead and manage a team of software engineers focused on developing and deploying AI/ML solutions for KLA's advanced inspection and metrology products. This role combines technical leadership, team management, and strategic planning to drive innovation and enhance product capabilities through artificial intelligence and machine learning.
Key Responsibilities:
- Lead and mentor a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement
- Define, plan, and execute AI/ML software development projects from conception to deployment, ensuring adherence to schedules, budgets, and quality standards
- Provide architectural and design guidance for: ML pipelines and model lifecycle management, LLM applications (e.g., RAG, agents, copilots, tool/function calling and integration of AI services into enterprise applications
- Review designs and key technical decisions; ensure alignment with platform standards and best practices
- Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture
- Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met
- Communicate status, risks, and outcomes clearly to leadership and stakeholders
- Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response
- Establish guardrails for responsible AI: data privacy, model risk, transparency, bias awareness, and auditability
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Preferred / Nice to Have
- Managing teams building LLM‑based applications or GenAI platforms
- Familiarity with cloud platforms (e.g., 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.
Core Competencies:
- AI Delivery: ML lifecycle, LLM applications, production readiness
- Technical Judgment: architecture reviews, trade‑off decisions
- Execution: roadmap planning, dependency management, risk mitigation
- Collaboration: product partnership, stakeholder communication
- Responsible AI: security, privacy, governance awareness
- People Leadership: coaching, feedback, performance management, hiring
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 10+ years of experience in software engineering, ML/AI engineering, or applied data roles
- 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 (APIs, CI/CD, testing, observability)
- Ability to communicate effectively with both technical and non‑technical stakeholders.
About KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards
Base Pay Range: $114,100.00 - $194,000.00 Annually Primary 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.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
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. Please contact us at [email protected] or at +1-408-352-2808 to request accommodation.
For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 10+ years of experience in software engineering, ML/AI engineering, or applied data roles
- 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 experience with modern engineering practices, including APIs, CI/CD, testing, and observability
- Ability to communicate effectively with technical and non-technical stakeholders
- 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 manufacturing, supply chain, finance, or customer operations
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
