Product Manager for Intel's Open Edge Platform, focusing on AI Suites, Libraries, and Tools for Edge AI and Robotics solutions on Intel silicon. Responsibilities include product lifecycle management, defining product strategy, leading cross-functional teams, and supporting product development and adoption.

Senior Engineering Manager to lead and scale Intel's compilation technology strategy, focusing on AI workloads, heterogeneous computing, and performance portability. The role involves defining long-term direction, guiding teams, and driving delivery of compiler innovations for CPUs, GPUs, and accelerators.

The AI Software Validation Intern will support testing activities for the OpenVINO product, ensuring its high quality. This involves gaining hands-on experience with software validation processes, working with machine learning frameworks, and potentially AI model development.

This role focuses on building and maintaining scalable CI/CD systems and infrastructure for wireless connectivity solutions. A key aspect is designing and implementing AI-driven DevOps solutions to improve developer productivity, such as failure analysis, pipeline intelligence, workflow automation, or agent-based systems. The role involves extensive work with Jenkins, Kubernetes, Elastic Stack, Prometheus, Grafana, Ansible, Python, and Bash in Linux environments.

Software Enabling and Optimization Engineer at Intel, focusing on optimizing software solutions for Intel's products across AI, Cloud, HPC, Graphics, and Edge. Responsibilities include collaborating with customers and vendors, debugging complex issues, conducting code reviews, researching innovative solutions, and providing technical consulting.

DevOps & Cloud Infrastructure Engineer to design, implement, and automate cloud-based solutions on the Azure platform. The team builds and provides the infrastructure powering the AI era across all DCG organizations, enabling scalable, secure, and innovative cloud solutions worldwide. Responsibilities include designing and maintaining scalable, secure, and automated cloud infrastructure on Azure, building and optimizing CI/CD pipelines, managing containerized environments, and developing automation scripts. Qualifications include a Bachelor's degree, strong background in IT infrastructure, Azure experience, CI/CD tools, Kubernetes, Docker, Python, and experience with AI tools and technologies.

Intern role supporting marketing strategies, MDF management, sales operations, and reporting. Requires analytical skills, advanced Excel, Power BI, Salesforce, and intermediate AI knowledge.

Develops assembly processes and equipment for Intel's future packaging platform technologies, optimizing manufacturing for quality, reliability, and yield. Utilizes AI/ML applications for metrology, processing image data from inspection systems to improve defect detection and minimize false positives. Collaborates with AI experts and automation teams.

Product Manager for Intel's new 'Computers for Agents' product line, focusing on defining and delivering agent-native compute platforms across consumer and enterprise segments. This role involves end-to-end product definition, working with silicon, software, and OEM partners to create vertically integrated solutions for the emerging agent compute category.

This role focuses on developing and implementing cloud-native analytical applications and solutions, with a strong emphasis on leveraging data engineering and cloud platforms. A key aspect involves designing and building pipelines for structured and unstructured data, including the use of Vector databases within a Retrieval Augmented Generative AI architecture. The role also involves applying Lambda architecture, database design, and data modeling, and collaborating on AI/ML infrastructure and big data integrations.

Intern role focused on Si performance analysis for network and AI workloads, performance modeling, and architectural tradeoff analysis within the Data Center Group. The role involves assisting with integration planning and collaborating with architects and design engineers to ensure platform scalability and alignment with strategic goals, using state-of-the-art analysis tools.

This role leads Intel's global social media and community strategy, transitioning from a broadcast model to a community-first, predictive posture. It involves architecting a global organization that integrates brand narrative, technical community engagement, developer marketing, social intelligence, and AI-led intelligence gathering, content development, and orchestration. The role requires building a modern function from the ground up, transforming social listening into predictive intelligence, partnering on rapid response capabilities using AI-driven workflows, managing competitive narratives, and fostering community and developer engagement across various platforms, including Generative AI and LLMs. It also focuses on AI-native content operations, integrating generative and agentic AI into the content supply chain, and driving Intel's messaging into channels that serve as training sources for LLMs.

Intel is seeking a Solution Lead for their Consumer Industries vertical to drive the design and development of integrated AI solutions for retail, grocery, hospitality, and banking. This role involves roadmap planning, portfolio alignment, and customer/partner engagement, focusing on edge-native transactional platforms. The ideal candidate will translate industry trends and customer insights into actionable roadmaps and deployable solutions, balancing strategic direction with near-term clarity.

This role focuses on optimizing communication libraries (oneCCL, SHMEM, MPI) for High-Performance Computing (HPC) and AI workloads, specifically identifying and resolving performance bottlenecks in Intel's oneCCL library for AI applications. The engineer will optimize runtime software for distributed systems, ensuring low latency and high bandwidth on Intel GPUs and CPUs, contributing to advancements in scientific discovery and AI systems.

This role focuses on validating and developing hardware structures and interfaces to accelerate deep learning hardware and software performance for AI systems. It involves developing test plans, leading pre- and post-silicon activities, and collaborating with product and design teams to define next-generation requirements and influence the AI product roadmap. The work impacts AI solutions in both on-device and data center deployments.

Intel's Health and Life Sciences (HLS) vertical is seeking a Roadmap and Solutions Manager to define and align strategic roadmaps for intelligent, secure, and reliable medical devices and life sciences instruments. The role involves translating market needs, customer insights, and regulatory considerations into actionable roadmaps and deployable solutions, with a focus on edge-native solutions. The candidate will bridge market requirements and internal execution, ensuring solutions are grounded in real-world deployment constraints and feedback is incorporated into roadmap evolution. Familiarity with AI/ML in healthcare is preferred.

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.

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.

Intel is seeking fresh graduates and early career professionals for talent opportunities in Malaysia. The program focuses on contributing to cutting-edge projects, hands-on training, and supporting innovative solutions within the AI era. Roles span various engineering and STEM fields, with a focus on developing technical and professional skills.

Principal Engineer role focused on shaping the future of datacenter and cloud software by engaging with customers, defining optimization opportunities, and influencing technical direction. The role involves architecting solutions, optimizing workloads, and driving technical excellence for Intel platforms. Responsibilities include customer engagement, technical leadership, workload optimization across various environments, mentoring junior leaders, and contributing to open-source communities. The role is critical for shaping next-generation Intel software and silicon codesign.

This role focuses on developing and optimizing communication libraries (Intel SHMEM, MPI, oneCCL) for high-performance computing (HPC) and AI systems, particularly for supercomputers like Aurora. The engineer will work on low-latency, high-bandwidth software for Intel GPUs and CPUs, collaborating with scientists and engineers to advance scientific computing and machine learning.

Senior Compiler Engineer role focused on developing and optimizing compiler software for Intel's GPU programming models, including OpenCL, SYCL, and OpenMP. The role involves designing IR interfaces, implementing optimization algorithms, collaborating with hardware architects, and evaluating workload performance to enhance AI and high-performance computing applications.

Intel is seeking an experienced Compiler Engineer to develop and advance their open-source compiler stack, focusing on C/C++/DPC++/Fortran compilers and LLVM. The role involves setting technical direction, designing language extensions and runtimes, and collaborating with the LLVM community to ensure high performance and reliability for CPU and GPU accelerators, particularly for AI and HPC workloads.

Analog Layout Design Engineer responsible for designing complex analog signal circuits, running verification tools, and optimizing layouts for area, power, and performance. Collaborates with cross-functional teams and develops new layout methodologies.

The Site Services Specialist role at Intel focuses on managing and coordinating employee and building services, including transportation, cafeteria operations, maintenance, and events. Responsibilities include project management, change management, supplier relationship management, quality audits, and ensuring compliance with local regulations. The role requires experience in project management, supplier management, and building maintenance.

This role focuses on developing, executing, and automating Bluetooth and Wi-Fi connectivity tests for hardware and software products. It involves creating validation environments, identifying and reporting issues, developing test plans, and collaborating with cross-functional teams. The role requires experience with test automation (Python) and network protocol analyzers, with a mention of integrating Gen AI Agents into validation tasks.

This role focuses on developing, executing, and automating Bluetooth and Wi-Fi connectivity tests for hardware and software products. It involves creating validation environments, identifying and reporting issues, developing test plans, and collaborating with cross-functional teams. The role requires experience with test automation (Python) and network protocol analyzers, with a mention of integrating Gen AI Agents into validation tasks.

Performs functional verification of CPU logic, develops IP verification plans, test benches, and verification environments. Executes verification plans, runs system simulation models, analyzes power and timing, and debugs issues. Collaborates with architects, RTL developers, and physical design teams. Maintains verification infrastructure and methodology. Participates in defining CPU architecture and microarchitecture features.

This role focuses on developing, executing, and automating Bluetooth and Wi-Fi connectivity tests for hardware and software products. It involves creating validation environments, identifying and reporting issues, developing test plans, and collaborating with cross-functional teams. The role requires experience with test automation (Python) and network protocol analyzers, with a mention of integrating Gen AI Agents into validation tasks.

Physical Design Engineer responsible for delivering end-to-end Physical Design and Analog Layout for Intel's Hard-IP portfolios, supporting implementation from RTL/Netlist through GDSII. The role involves synthesis, place and route, clock tree synthesis, static timing analysis, and power/clock distribution, as well as verification and signoff.

Physical Design Engineer responsible for end-to-end Physical Design and Analog Layout for Intel's Client, Server and ASIC Hard-IP portfolios, as well as advanced testchips. The role involves execution from RTL/Netlist through GDSII using established Physical Design methodologies and sign-off practices, impacting product-level parameters such as power, frequency, and area.

CPU Design Verification Engineer responsible for Pre-Silicon functional verification of CPU logic, developing test benches and verification environments, executing verification plans, and debugging issues in the Pre-silicon environment. Collaborates with architects and RTL developers to ensure design meets specifications.

This role focuses on the validation and debug of Design-For-Debug (DFD) logic in Intel CPUs. The engineer will develop verification plans, test benches, and software solutions for pre-silicon and post-silicon environments, collaborating with architects and designers to ensure CPU reliability and functionality. The role requires expertise in System Verilog, UVM, and scripting languages like Python, Perl, and C/C++, along with a strong understanding of CPU architecture.

This role is for a Hardware Platform Applications Engineer focused on the military and aerospace market. Responsibilities include customer engagement, system support, proof-of-concept development, debugging platform issues, technical collateral creation, and working with hardware/software architects on platform requirements. Requires a BS in EE or CS, 3+ years of hardware design experience, and US Citizenship with the ability to obtain a security clearance.

Internship role focused on power and performance validation of Intel silicon products (Xeon family). Responsibilities include debugging, data collection, data analysis, validation coverage assessment, and potentially test automation and infrastructure development. Requires pursuing a degree in a relevant field and 6 months of experience in computer architecture, programming (C, C++, Python), and SoC microarchitecture.

Senior Member of Technical Staff role at Intel focused on process innovation and optimization for advanced semiconductor technologies, specifically thin film deposition. The role involves leading process development, ensuring manufacturability, collaborating across engineering disciplines, and meeting customer requirements in high-volume manufacturing.

Process Integration Development Engineer at Intel, focusing on advancing semiconductor manufacturing processes for Logic Technology Development (LTD). Responsibilities include leading quality event responses, performing statistical analysis on fab and E-test data, monitoring yield indicators, conducting root cause analyses, and developing process targeting strategies to optimize product performance and yield. Requires a Bachelor's degree in a relevant STEM field and experience in semiconductor industry, statistical data analysis, and root cause analysis.

This role focuses on validating Design for Test (DFT) for manufacturing functional testing and developing functional test content for Intel's next-generation CPU IP designs. The engineer will work with design, SOC, and manufacturing teams, using fault simulators to measure coverage, debug pre-silicon issues, and implement corrective measures.

Product Development Engineer (Contract) at Intel Manufacturing and Product Engineering (MPE) in Malaysia. Responsibilities include evaluating and debugging new test programs, resolving product manufacturability issues, performing data analysis to improve test coverage and yield, and developing support software for test program validation. Requires a Bachelor/Master's degree in relevant engineering or computer science fields with 1-3 years of experience. PERL and object-oriented programming skills are a plus.

Develops cloud and hybrid-cloud applications using frameworks from internal and external cloud providers like Amazon Web Services, Google Cloud, and Azure. Architects and coordinates cloud solutions across areas such as application development, identity and access management, network and data management, and security. Defines and implements DevSecOps solutions, linking them to cloud platforms and ensuring adherence to security standards. Drives the implementation of DevOps processes, automation, and culture for application deployment and infrastructure maintenance. Builds and designs web services in the cloud while orchestrating and automating cloud-based platforms. Develops responsive frontend interfaces for applications that run on mobile and PC form factors utilizing technologies like HTML5, TypeScript, and JavaScript frameworks (React, Angular, Bootstrap). Troubleshoots and resolves technical issues, identifies root causes, and implements preventive measures to ensure high application performance and scalability. Educates and mentors multidisciplinary teams on cloud-based solutions and best practices, fostering collaboration and technical growth. Defines and documents strategies for infrastructure maintenance and application deployment, ensuring alignment with company guidelines.

Internship role focused on developing and enhancing middleware software components for Intel's platforms, involving API design, performance tuning, and open-source contributions. Requires a Bachelor's or Master's degree in Computer Science or related field, proficiency in C/C++, and familiarity with open-source technologies.

Supply Chain Engineer role focused on optimizing Intel's supply chain strategy and tactical processes, defining next-generation methodology capabilities, and exploring emerging technologies. Responsibilities include supporting management in implementing alternate/localize parts projects, collaborating on supply-demand trends, driving supplier selection, performing risk mitigation, establishing control standards, managing part change control, and managing strategic supply chain programs.

Senior Logic Design Verification Engineer at Intel in Malaysia, focusing on Power Management Controller IP (PMC). Responsibilities include defining and developing verification testbenches, building RTL models, validating architectural features, and resolving RTL test failures. Requires extensive experience with UVM and System Verilog.

This role focuses on developing, executing, and automating Bluetooth and Wi-Fi connectivity tests for hardware and software products. It involves creating validation environments, identifying and reporting issues, developing test plans, and collaborating with cross-functional teams. The role requires experience with test automation (Python) and network protocol analyzers, with a mention of integrating Gen AI Agents into validation tasks.

Seeking a SoC Debug / Post-Silicon PnP Validation Engineer to perform power and performance validation, low-level debug, and complex analysis at the SoC level for Intel products. Responsibilities include developing DFD tools, automation scripts, root cause analysis, and collaborating with cross-functional teams.

This role focuses on the development and optimization of analog and RF test methodologies for Intel's semiconductor products. Responsibilities include designing test boards, developing software for test equipment, debugging functionality and performance issues, and releasing production test solutions to ensure product quality and yield. The role requires expertise in RF design and test, ATE testing, and electrical simulation tools.

This role is for a Module Equipment Technician at Intel, responsible for maintaining and troubleshooting manufacturing equipment in a semiconductor fabrication environment. The position involves performing electrical and mechanical repairs, conducting preventative maintenance, analyzing equipment data, and collaborating with engineering teams to ensure optimal equipment performance and support production ramps. It is a hands-on role focused on operational efficiency and reliability within Intel's manufacturing processes.

This role is for a Module Equipment Technician in semiconductor manufacturing, responsible for maintaining and troubleshooting manufacturing equipment. It involves electrical and mechanical troubleshooting, equipment repair, calibration, and preventative maintenance. The role supports engineers in data collection and experiments to improve tool performance. It requires technical certifications or related experience in equipment maintenance.