Full-Time Jobs in Scio Township Michigan, MI

This full-time Cybersecurity Engineer role at KLA focuses on endpoint detection and protection within the semiconductor manufacturing ecosystem. The position serves as a subject matter expert responsible for configuring, tuning, and optimizing enterprise EDR and EPM platforms across Windows, macOS, and Linux environments. Key duties include designing detection policies aligned with MITRE ATT&CK frameworks, collaborating with the SOC to reduce false positives, and leading incident response investigations using endpoint telemetry. The role appeals to candidates seeking to solve complex security challenges in a culture that invests heavily in innovation and R&D. The position is based in Ann Arbor, Michigan, and offers opportunities for professional growth through exposure to cutting-edge threat hunting and advanced security tooling.

This Data Fabric Engineer role at KLA focuses on designing and managing end-to-end solutions within the Palantir Foundry platform to support the global semiconductor manufacturing ecosystem. The position involves building scalable data pipelines, developing ontologies to model business entities, and integrating Foundry with enterprise systems like SAP and Snowflake using Python and SQL. Key responsibilities include ensuring data governance, monitoring pipeline health, and collaborating with cross-functional teams to translate requirements into operational analytics. The role is appealing due to the opportunity to solve complex problems in a highly innovative environment where 15% of sales are reinvested in R&D. It offers a chance to work with expert teams of physicists and engineers on cutting-edge technology, with a primary location in Ann Arbor, Michigan.

The AI Systems and Operations Specialist role supports KLA's global human resources division by integrating artificial intelligence into HR systems and workflows. The position involves identifying high-impact AI use cases, prototyping solutions within Workday and Microsoft environments, and managing the governance and ethics of AI deployment. Key responsibilities include driving technology roadmaps, redesigning processes for efficiency, and ensuring compliance with security and legal standards. This opportunity appeals to professionals seeking to work at the intersection of HR and advanced technology within a company that invests heavily in innovation. The role offers a dynamic environment focused on solving complex problems and driving measurable productivity improvements in a regulated enterprise setting.