Intel

Lead a digital design team developing cutting-edge AI SoCs, focusing on RTL coding, PPA analysis, and cross-functional collaboration for high-end chip design.

Senior Director to lead Enterprise Data & AI Enablement, reporting to VP of AI and Data. Drives strategic roadmap for data and AI capabilities, focusing on robust data foundations for advanced AI applications. Leads cross-functional teams, collaborates with AI leadership, and influences enterprise-wide data and AI strategy. Responsibilities include defining data strategy, overseeing data ingestion and engineering, enabling AI/ML with tooling and environments, developing knowledge products, integrating structured/unstructured data, and designing data models for BI and AI workloads. Also responsible for data governance, quality, literacy, and compliance. Requires proven experience with large-scale data platforms, enterprise applications, data architecture, warehousing, lakehouse technologies, and building AI-ready data foundations. Must demonstrate ability to drive enterprise-wide data strategy, influence senior leadership, build and scale data teams, and partner with AI/ML teams. Experience in regulated industries is preferred.

This role is for an End-to-End GPU AI Software Architect at Intel, focusing on the entire software stack from firmware to applications to ensure Intel GPU AI software meets product requirements for workloads, performance, and stability. The architect will make key technical design decisions, influence technical direction across the industry, and mentor other technical leaders.

Seeking a Verification Team Leader for Intel's AI group in Israel to manage a team, develop verification plans, oversee verification environments, and collaborate with design teams for cutting-edge AI hardware products. Requires 10+ years in VLSI chip verification, 4+ years in leadership, and experience with SoCs and AI applications.

Software Engineer role at Intel focused on building the AI PC ecosystem and full-stack GPU IP. The role involves collaborating with OS vendors and ISVs to enable differentiated AI experiences, focusing on NPU IP and GPU IP across Intel's product portfolio. The mission is to reshape end-user experiences with AI and drive high-performance computing with GPUs.

This role focuses on building and scaling an ecosystem of Solution Integrators (SIs) to drive the adoption and deployment of Edge AI systems in the education segment across Southeast Asia. The specialist will design the channel engine, recruit and enable SIs, and collaborate with partners to create repeatable reference architectures and bundled solutions. While not coding, the role requires understanding Edge AI complexities to advise partners.

This role focuses on yield analysis and improvement in advanced packaging technology and manufacturing. The engineer will extract insights from large datasets using statistical methods and machine learning techniques, develop solutions to manufacturing process problems, and influence the yield improvement roadmap. The role requires understanding the relationship between electrical and physical fails, inline defect metrology, and collaborating with various engineering teams.

Student role focused on tactical planning, cost savings, efficiency, process improvements, analysis, budget control, and procurement management within Intel's Client Validation Engineering organization. Requires economics, finance, or related studies, with AI tool usage and supply chain experience being advantageous.

Software Enabling and Optimization Engineer role focused on optimizing software for Intel products, including AI frameworks, across various domains like Cloud, AI, HPC, Gaming, Graphics, and Edge computing. Responsibilities include development, integration, testing, debugging, and optimization of software, collaborating with customers and partners, evangelizing Intel's tools, and researching innovative solutions. Familiarity with AI frameworks and performance optimization is preferred.

The Yield Platform Analyst role at Intel focuses on driving yield improvement across advanced packaging technologies. This involves defining goals, establishing relationships between material/tool/process modulators and yield, performing statistical analysis, and extracting insights from data using machine learning and coding techniques. The candidate will develop systems to transform data into yield improvement actions and ensure manufacturability. This role requires defining roadmaps, influencing strategies, and working with cross-functional teams throughout the technology lifecycle from pathfinding to HVM ramp.

This role focuses on debugging and resolving complex system-level issues for Intel's AI GPU product roadmap, involving hardware, software, firmware, and silicon components. The engineer will lead root-cause analysis, manage the bug lifecycle, and collaborate with cross-functional teams to ensure efficient resolution of platform issues and customer escalations. While familiarity with ML frameworks and AI/ML deployment debugging is a plus, the core responsibility is system-level engineering and debugging.

This role focuses on yield enhancement in semiconductor manufacturing by applying statistical analysis, machine learning, and data analytics to identify root causes of yield limiters and optimize manufacturing processes. The engineer will extract insights from diverse data sources, develop tools for high-volume data analysis, and collaborate with cross-functional teams to drive process improvements and ensure product quality.

This role focuses on yield improvement in semiconductor manufacturing by applying statistical analysis, machine learning, and coding techniques to analyze big data from manufacturing processes, identify root causes of defects, and develop data-driven strategies for yield optimization. The engineer will develop systems and methodologies for data consolidation, perform statistical analysis and visualization, and transform data into actionable yield improvement strategies.

Internship role focused on IP block design, supporting development flows, tools, and methodologies within Intel's Silicon and Platform Engineering Group. Requires Python, Git, CI/CD, SQL, and experience using AI coding tools with critical evaluation of their output. Preferred qualifications include web development, authentication, and AI agent familiarity.

AI Software Development Engineer at Intel focused on developing content and datasets for AI-based graphics and next-generation rendering technologies like Super Resolution and Frame Generation. The role involves building scalable workflows for generating scenes, effects, and dataset content using AI tools and procedural methods, working closely with AI and graphics engineers.

Intern role focused on optimizing GPU compute kernels for AI workloads and validating GPU IP. Involves performance profiling, analysis, and building performance models to understand architecture-level behavior, contributing to hardware/software codesign for next-generation Intel GPUs and AI accelerators.

Internship role focused on building AI software stacks, GPU programming, and performance optimization. Contributes to design, development, and optimization of AI software solutions, algorithms, frameworks, and architectures. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware-software integration. May involve creating AI software solutions and system-level deployment for scalable and efficient AI.

Software Engineer role focused on designing, developing, testing, and debugging software tools, flows, and methodologies for hardware design automation within the semiconductor industry. The role involves capturing requirements, writing functional and test code, automating build/deployment, and performing testing. It also includes designing web interfaces for tool configuration and control, and supporting Linux EDA tool infrastructure. While AI is mentioned as a general company goal, the core responsibilities are in software engineering for design automation, not direct AI/ML model development.

Internship role focused on SoC integration and verification, with an emphasis on learning and applying RTL/logic development, functional verification methodologies, and utilizing AI tools for automation. The role involves debugging, simulation, and collaboration within a hybrid work model.

Internship role supporting the design and development of integrated AI solutions combining software, hardware awareness, and system-level concepts. Focus on learning AI systems development across the tech stack, from models to platform considerations, and contributing to prototyping and testing.

This intern role focuses on the hardware engineering aspects of AI ecosystem solutions, involving algorithm and framework design, AI software architecture, and optimizing AI solutions for hardware performance. It combines hardware engineering with AI/ML techniques for design efficiency and analysis, including implementing and tuning models, applied research, and system-level deployment. The role emphasizes AI augmenting engineering judgment.

Student role in a semiconductor manufacturing environment focused on data science and automation. Responsibilities include supporting daily operations, identifying and automating manual bottlenecks, and building AI-driven solutions for data analysis and predictive methodologies. Requires strong Python and SQL skills, analytical abilities, and willingness to learn manufacturing processes.

This internship focuses on supporting the design, deployment, and troubleshooting of Cloud and AI systems and solutions, collaborating with hardware and software teams to optimize for real-world use cases. The role involves applying AI framework knowledge and systems engineering principles to ensure reliability and scalability.

Software Development Intern role focused on AI-enhanced requirements engineering within Intel's Data Center Requirements team. The intern will contribute to intelligent automation, ML-driven data analysis, and AI-powered tool creation, leveraging web development, scripting, database, and data structure skills. The role emphasizes learning software development methodologies, debugging, automation, and data analysis.

Seeking an AI Tools Development Intern to support the design, development, and validation of AI tools, working closely with experienced engineers. This role involves hardware design activities, documentation, and collaboration with cross-functional teams. The intern will gain practical experience in hardware design processes and engineering tools.

Intern role assisting Platform Validation Engineers with test case creation, automation scripting, and platform validation. The role involves developing AI solutions to improve script automation, execution, and debugging, ultimately supporting the quality of Intel Xeon products.

Manager for VMaaS and CaaS Platforms, responsible for end-to-end ownership, reliability, and evolution of Intel's VMaaS and CaaS platforms across Enterprise IT and Labs. This role ensures stable operations, scalable architecture, and disciplined lifecycle management, while leading the transition through platform modernization, EOL migrations, and AI and automation driven operations. The role also involves people leadership, stakeholder management, and driving the adoption of AI and automation tools to improve operational efficiency.

Internship role focused on supporting the development and optimization of integrated AI solutions, collaborating with hardware and software teams to meet business and customer needs. Involves performance benchmarking, data analysis, and applying AI frameworks to refine solutions for AI use cases.

AI Performance Engineer Intern at Intel focused on analyzing silicon chip performance for deep learning, conducting large-scale benchmarks, designing automation tools for data collection and analysis, and researching new architectural features for GPUs, CPUs, and SoCs. The role involves system-level modeling, testing, characterization, and performance-per-watt analysis, with a strong emphasis on understanding deep learning models and frameworks.

This is an intern role focused on software validation for datacenter products, with a specific mention of using AI-assisted approaches to improve validation processes. The core function is software validation and testing, not direct AI model development or deployment.

This role focuses on data analysis and developing AI/ML techniques for manufacturing processes within Intel Foundry. The primary responsibilities include developing data acquisition and analysis scripts, creating visualization dashboards, and exploring foundational AI/ML to improve pattern detection and automate analyses in manufacturing data. The role requires foundational understanding of AI/ML concepts and experience with data analysis tools and programming languages.

Internship role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. The role involves implementing and tuning models for performance, applied research, and hardware-software integration, with potential for system-level deployment. Familiarity with PyTorch, model profiling, and optimization is a plus.

Process Integration and Yield Engineer at Intel, focusing on semiconductor manufacturing excellence. Responsibilities include defining roadmaps for technology transfers, establishing manufacturing workflows, analyzing data with statistical methods and ML, driving yield improvement, performing risk assessments, and developing automation tools using AI/ML techniques. Requires experience in semiconductor processing, data analytics, and yield improvement methods.

Internship role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. The role involves implementing and tuning models for performance, applied research, and hardware-software integration, with potential for system-level deployment. Familiarity with PyTorch, model profiling, and optimization is a plus.

Develops Rust-based GPU middleware and runtime APIs for AI and HPC workloads, focusing on the oneAPI-rs ecosystem and open-source contributions. Bridges low-level compute with developer-friendly abstractions.

This role focuses on optimizing web runtime performance for Intel AI PCs by enabling and optimizing key Chromium components, including Web AI features, on Intel hardware (CPU, GPU, NPU). The engineer will work with internal hardware teams and the Chromium open-source community.

Robotics Engineer to design, develop, and deploy robotic systems (COBOTs, AMRs, Quadrupeds, Humanoids) for semiconductor manufacturing environments. Requires experience in robotics engineering, C++, Python, ROS2, and ideally ML/AI applied to robotics.

This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python.

This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python.

Software Development Engineer focused on optimizing full-stack software for cloud deployment models, enabling Intel hardware features, with opportunities to specialize in AI/ML domains. The role involves designing, developing, validating, and debugging software solutions, collaborating with partners, and engaging in DevOps practices.

Software simulation intern role focused on developing and simulating platform simulators in a cloud environment to enable early firmware and software development for Intel's products. Requires programming skills in Python, C/C++ and knowledge of computer architecture. Experience with AI solutions is a plus.

Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions using manufacturing process knowledge and problem-solving tools, and influencing the yield roadmap. Requires experience in data analysis with JMP or Python and a strong understanding of electrical/physical fails and inline defect metrology.

Cloud Software Development Engineer at Intel, focusing on optimizing software stacks for Intel hardware in cloud environments. Specializations include data services, AI/ML, or open-source development. Responsibilities involve designing, developing, validating, and debugging software solutions, with a focus on performance optimization and customer support.

This role focuses on enabling ecosystem and industry partners to build solutions around Intel's Edge AI platforms and technologies, driving adoption in the APJ region. It involves identifying, onboarding, and supporting Independent Software Vendors (ISVs) by mapping their needs to Intel offerings, coordinating technical resources, managing the ISV program, coaching on value propositions, and driving regional business development through partner recruitment and commercial alignment. The goal is to scale Edge AI applications and solutions built on Intel hardware.

Manager for VMaaS and CaaS platforms, responsible for end-to-end ownership, reliability, and evolution. Focuses on stable operations, scalable architecture, and lifecycle management, including platform modernization and AI/automation-driven operations. Leads a team of platform engineers.

Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions, and influencing the yield roadmap. Requires strong understanding of electrical/physical fails, defect metrology, and factory systems. Will lead a small group of engineers and partner with cross-functional teams.

This role focuses on architecting and developing firmware for next-generation semiconductor products, emphasizing innovation, hardware/firmware co-engineering, and the integration of AI-assisted engineering workflows to accelerate product development and improve efficiency. The candidate will work with embedded systems, C/C++/SystemC/Python, and collaborate across multiple engineering disciplines to deliver high-quality silicon.

Module Engineer role at Intel Vietnam, focusing on optimizing assembly processes and equipment, driving technology transfers, and spearheading Factory of the Future transformation through AI and Robotics deployment. Requires a Bachelor's or Master's degree in relevant engineering fields. Fresh graduates are welcome.

This role focuses on optimizing Intel's hardware features for cloud environments, primarily in the media domain, with potential involvement in AI/ML initiatives. The engineer will design, develop, and debug software, optimize partner stacks, and build scalable cloud-native solutions, collaborating with cross-functional teams and customers to improve performance and enable value from Intel products.

This role focuses on enabling OEMs/ODMs to design and deploy AI/server systems incorporating Intel products. The engineer will provide architectural consultation, technical support, develop validation tools, create technical collateral, and evaluate innovative solutions for next-generation systems. The role also involves facilitating customer product ramps and collaborating with internal and external teams to ensure readiness and optimize performance.