KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop smartphone wearable device voice-controlled gadget flexible screen VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists engineers data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
KLA is well known for its high-performing business model which routinely produces significant profit margins and revenue. Key to supporting KLA business is the finance team that partners with corporate and global business organizations to provide expertise and guidance for developing and executing sound business models and practices. The Finance organization consists of operations and corporate finance teams. The operations finance team influences business decisions by gathering the best available operations information distilling it and making recommendations to our management team on the best course of action. The corporate team provides a broad range of services such as financial planning corporate accounting tax industry analysis and benchmarking internal audits SEC reporting and merger and acquisition support.
Job Description/Preferred Qualifications
We are seeking a highly skilled passionate Senior AI Production & Security Engineer to join our Service AI Engineering team. This role will be pivotal in owning production application support for enterprise AI applications and in leading security engineering efforts to protect intellectual property (IP). We encourage you to apply if youre a deeply technical engineer with strong security instincts operational excellence and clear leadership potential.
Key Responsibilities:
- Lead an AI security testing and adversarial assessment program (e.g. prompt injection jailbreaks data exfiltration tool/plugin abuse) including repeatable test plans automation and regression gates.
- Own production application support for enterprise AI applications: incident triage root-cause analysis remediation and post-incident improvements with measurable reliability outcomes
- Build and operate observability and monitoring to understand and detect suspicious or unsafe user interaction patterns (abuse detection anomaly signals alerting) aligned with privacy and compliance needs.
- Design and implement IP protection and safety guardrails (sensitive data detection/redaction policy enforcement access-control verification safe tool-use constraints audit trails).
- Drive secure-by-design architecture via threat modeling for AI application changes (model retrieval/data access tools/agents) and ensure mitigations are implemented before release.
- Establish and enforce DevSecOps practices for AI applications (CI/CD security gates dependency hygiene secrets management least privilege vulnerability management secure rollout/rollback).
- Provide senior technical leadership: mentor engineers lead design reviews partner with corporate security and engineering stakeholders and set standards that raise security and production quality.
Qualifications:
- Proven experience leading security initiatives (threat modeling vulnerability management incident response secure architecture reviews) and driving cross-team remediation
- Hands-on experience securing cloud-native applications (containers Kubernetes CI/CD secrets management IAM/RBAC logging/monitoring)
- Familiarity with AI/LLM security risks and mitigations (prompt injection/jailbreaks data exfiltration unsafe tool use evaluation gates)
- Strong programming and troubleshooting skills (Python preferred) and ability to build automation for testing monitoring and response workflows
- Excellent communication and leadership potentialable to lead technical programs influence stakeholders and mentor others
- Prior experience in a similar industry and/or protecting proprietary IP in high-assurance environments is a plus
Minimum Qualifications
Masters Degree in Computer Science Software Engineering Cybersecurity or related field. 10 years of experience in security engineering production engineering DevSecOps or closely related roles including ownership of production systems.
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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