Graduate Talent (Firmware Development)

Intel is hiring a Graduate Talent (Firmware Development). Level rates it ; you can apply on Intel.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting mentions ChatGPT, Claude and Copilot among its tools and skills.
Level classes it as a junior role.
Intel has 842 other open roles on Level.
Posted in the last few days.

AI in this role

ChatGPTClaudeCopilotPyTorchTensorFlowCursor

ragllm-integrationai-agentscomputer-vision

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.

How we rate this

Graduate Talent (Firmware Development) at Intel rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Graduate Talent (Firmware Development) is an open job at Intel.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Malaysia, Penang.
The job was posted on November 5, 2026.
Seniority: junior.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGLLM IntegrationAI agentsComputer visionChatGPTClaudeCopilotPyTorch

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How have you integrated a large language model into a production application?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used ChatGPT in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, LLM Integration, AI agents, Computer vision, and ChatGPT. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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