The role involves designing, developing, and testing EDA tools, improving fill components of PDKs, and automating workflows to ensure manufacturability in semiconductor design.

The AI Research Engineer will research, design, and optimize AI/ML algorithms, collaborate with engineering teams, and develop scalable solutions for advanced technologies.

Lead substrate supplier development and qualification, manage readiness milestones, collaborate with engineering teams, and ensure supplier capabilities meet customer demands.

The CEG Technical Assistant/Chief of Staff supports CEG's strategic initiatives, managing executive operations, stakeholder relationships, and driving business objectives. Responsibilities include collaboration across Intel, facilitating communication amongst teams, and enhancing organizational processes.

This role involves developing logic design, RTL coding, and simulation for GPU IPs. The engineer will also participate in architecture definition, optimize design for power, performance, and timing, and ensure verification of design features.

Designs and oversees development of Intel GPU AI software across the entire stack, ensuring performance, stability, and ease of use, while mentoring technical leaders and aligning technical strategies with organizational goals.

The engineer will verify mixed signal logic components, develop verification plans, execute tests, debug issues, and collaborate on design improvements.

Support semiconductor design workflow optimization, high-performance computing infrastructure, and AIOps automation. Assist with software development lifecycle and IAM solutions.

The role involves planning, provisioning, and maintaining software infrastructure for building hardware and software products, with a focus on automation and collaboration with development teams.

The role involves developing and debugging Fill components for PDKs, collaborating across teams, and addressing physical design challenges using EDA tools.

Design, develop, and test cloud-native applications and microservices; build scalable APIs; ensure security; troubleshoot issues, create test plans.

The role involves researching system architecture innovations, prototyping workloads, developing performance assessment tools, and collaborating on product roadmap enhancements at Intel.

Develop and support cloud-based applications and distributed systems, focusing on reliability, security, and operational excellence. Collaborate with stakeholders to troubleshoot and deliver high-quality solutions.

The role involves installing, testing, and debugging AMHS software for factory automation, requiring skills in software engineering and troubleshooting.

The Foundry New Product Data Analyst plans and executes supply chain strategies for new products, ensuring data quality and coordination across teams, while improving processes and workflows.

The Senior Silicon Design Engineer is responsible for implementing custom IP and SoC designs, conducting physical design flows, and ensuring design methodology improvements.

Develops validation strategies and test plans for SoC/chipset. Debugs systems and applies design knowledge for failure resolution. Collaborates for IP/SoC validation.

Define and drive performance requirements analysis for Intel client platforms, running benchmarks, collecting data, and collaborating with teams to improve platform performance.

As a Defect Metrology Layer Owner, you will lead defect reduction in semiconductor processes, analyze defects, and collaborate with teams to improve yield and performance.

The Linux Kernel Engineer will develop and maintain Linux kernel modules, support hardware enablement, implement bug fixes, and collaborate with teams on platform software integration, gaining skills in kernel development.