Graduate Talent (Firmware Development)

Job Details: Job Description: At Intel, we create world-changing technology that enriches the lives of every person on Earth. For more than 50 years, Intel innovations have powered the computing breakthroughs that shape how people live, work, and connect. The Physical AI, Client and Edge (PACE) organization within the Client Computing & Physical AI Group (CCPG) is driving the next wave of intelligent computing by bringing Artificial Intelligence closer to where data is created and decisions are made. From intelligent edge devices and robotics to autonomous systems and AI-enabled industrial solutions, PACE develops technologies that enable the future of Physical AI. As part of this mission, the Firmware & Functional Safety Technologies (FFST) organization develops critical platform firmware technologies that power Intel's next-generation products. Firmware is where hardware and software come together, enabling silicon features, platform reliability, security, performance, and functional safety capabilities. As a Graduate Talent in the Boot Firmware Engineering (BFE) team, you will work alongside experienced firmware engineers to develop and validate low-level platform firmware for Intel reference platforms. You will gain hands-on experience in platform initialization, silicon enablement, system debugging, firmware automation, and AI-assisted engineering workflows while contributing to technologies that power millions of computing devices worldwide. What You Will Do Develop, integrate, and validate boot firmware components for Intel client and edge computing platforms. Participate in firmware architecture discussions, feature design reviews, and requirement definition activities. Design and execute unit tests, integration tests, and platform validation methodologies to ensure robust firmware quality. Investigate, debug, and root-cause hardware, firmware, and system-level issues using industry-standard debugging tools and methodologies. Develop automation scripts and engineering tools to improve development efficiency, test coverage, and product quality. Collaborate closely with silicon architects, hardware designers, software engineers, validation teams, and platform integrators across Intel's global engineering network. Apply Generative AI and Agentic AI solutions to accelerate code development, debugging, validation, knowledge discovery, test creation, and engineering productivity. Explore new approaches to AI-powered firmware engineering by leveraging autonomous AI agents, intelligent workflow automation, and large language models (LLMs). Qualifications: We are seeking passionate graduates who enjoy understanding how systems work from silicon to software and are excited to build the technologies behind tomorrow's intelligent devices. Successful candidates often demonstrate a strong curiosity for both hardware and software and enjoy building things beyond academic coursework. Minimum Qualifications Bachelor's or Master's Degree in: Computer Engineering Electrical & Electronic Engineering Computer Science Embedded Systems Mechatronics Robotics Related engineering disciplines Strong programming skills in one or more of the following: C C++ Python Understanding of computer architecture, embedded systems, operating systems, and software development fundamentals. Strong analytical thinking, debugging skills, and problem-solving abilities. Effective communication and teamwork skills. Passion for learning emerging technologies and solving challenging technical problems. Preferred Qualifications Candidates will have an advantage if they possess hands-on experience through personal projects, hackathons, internships, university projects, or open-source contributions involving: Embedded and Hardware Projects Arduino, ESP32, STM32, RP2040, PIC, MSP430, or similar microcontroller platforms. Raspberry Pi, Jetson Orin Nano, BeagleBone, or other embedded Linux platforms. Robotics, IoT, sensor integration, autonomous systems, drones, or industrial automation projects. Embedded Linux, RTOS, device drivers, or bare-metal firmware development. AI and Intelligent Systems Machine Learning or AI projects using TensorFlow, PyTorch, OpenVINO, ONNX, or similar frameworks. Edge AI deployment on embedded devices. Computer vision, speech AI, robotics AI, or autonomous systems projects. Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude, ChatGPT, or other AI coding assistants. Agentic AI and Engineering Productivity Development of AI agents, autonomous workflows, retrieval-augmented generation (RAG) systems, or multi-agent applications. Experience integrating LLMs into software applications or engineering workflows. Building automation pipelines that leverage AI for testing, debugging, code generation, or data analysis. Additional Differentiators Active GitHub portfolio showcasing personal technical projects. Participation in hackathons, maker communities, robotics competitions, engineering clubs, or open-source initiatives. Demonstrated ability to take an idea from concept to working prototype. We're especially interested in builders and makers. If you've spent your free time creating projects with Arduino, ESP32, Raspberry Pi, robotics kits, autonomous vehicles, smart home systems, AI-powered devices, or other embedded platforms, we'd love to hear about them. We value candidates who are curious, hands-on, and passionate about understanding how hardware and software work together to create intelligent systems. Experience using AI tools to accelerate development and solve complex engineering problems is highly desirable. Job Type: Intel Contract Employee Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.