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Manage New Product Introduction (NPI) activities for engineering builds to high volume manufacturing, ensuring successful product launches and manufacturing readiness through collaboration and project management.

Lead the test engineering lifecycle for a semiconductor foundry, ensuring robust solutions across mechanical, thermal, and electrical domains while managing customer requirements and cross-functional teams.

The Platform Applications Engineer leads hardware marketing engineers, manages customer service support, drives team results, and develops technical marketing deliverables throughout product lifecycles while advocating for customer needs and fostering team growth.

As an Ethernet Hardware Product Application Engineer, you will provide technical support, collaborate with teams, develop tools, and ensure market readiness of Intel products.

The Equipment Process Engineer will manage high volume manufacturing equipment, ensure process control, develop improvements, and transfer technology globally, while optimizing production efficiency and maintaining quality standards.

The engineer will integrate scribeline cells into frame layouts for semiconductor manufacturing, ensuring compliance with design specifications and collaborating across departments to maintain accuracy in data output and revisions.

The role focuses on optimizing GPU performance for 3D graphics applications on Linux, driving software development and collaboration across teams.

The role involves equipment maintenance, troubleshooting, and supports wafer production in a semiconductor manufacturing environment. Responsibilities include problem-solving, data analysis, and collaboration with engineering teams.

Develop and integrate high-performance Network-on-Chip (NoC) and interconnect fabrics into SoC platforms. Define system-level requirements, integrate IP blocks, collaborate with architecture and physical design teams, analyze PPA trade-offs, support debug/validation and bring-up, and mentor junior engineers while driving scalable silicon solutions across global teams.

The AI Research Engineer/Scientist will develop state-of-the-art neural network compression algorithms for optimizing inference within the OpenVINO ecosystem, focusing on Deep Learning model optimization and software development.