Implement complex structural physical designs for Intel's Client CPU SoC, including synthesis, floor planning, place and route, and various verification processes.

The role involves driving SoC/ASIC verification for mixed signal IPs, defining verification plans, mentoring junior engineers, and performing RTL debug.

The role involves developing high-performance Edge AI solutions, optimizing algorithms, and deploying AI models using various technologies and frameworks. Strong software development and troubleshooting skills are essential, along with experience in project execution and communication.

The role involves owning the verification lifecycle for SoC/IP blocks, driving verification planning, UVM testbench development, and collaboration with cross-functional teams to ensure robust silicon delivery.

The CPU Verification Engineer will verify CPU logic by developing test plans, running simulations, and debugging issues. This role involves collaboration with design teams and maintaining verification methodology.

The SoC Design Verification Engineer will lead verification for complex SoC/IP blocks, focusing on UVM testbench development, coverage closure, and debugging across various design levels while collaborating with cross-functional teams.

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.