Job Details:

Job Description:

Client Graphics organization is seeking a firmware developer to join our GuC (Graphics micro (μ) Controller) Team. This position requires experience in FW code development, validation and Unit Testing to provide a high-quality code deliverable. You’ll be immediately plugged into the team with a senior team member identified to help in your ramp, and given appropriate levels of ownership over FW feature design and implementation to match and continue to grow your skills.

You will be expected to work on the tasks across all aspects of the software development process (design, verification, CI/CD, interface definition, etc.). You will leverage a modern development culture and processes using modern development practices.

If you are looking to challenge yourself, being a team player, growing technical expertise and ownership, and understanding the details of Intel’s graphics products while advancing your own skills applying modern development techniques this is the job for you.

You will be responsible for, but not limited to:

• Contribute to the GuC firmware design documents.
• Own and ensure quality delivery of the GuC runtime firmware.
• Own debug of GuC Firmware features with main focus on the Scheduler domain.
• Contribute to validation and unit test framework development.
• Contribute to the culture of quality deliverables by designing and developing validation test cases.

Qualifications:

Minimum Qualifications:

Bachelor's in Computer Science, Computer Engineering or in a related field and 5+ years of Firmware development experience

OR Master in Computer Science, Computer Engineering or in a related field and 3+ years of Firmware development experience

2+ years of experience in/with:

• Firmware / Software debug methodologies.
• Modern software engineering practices in product delivery situations.
• Modern unit tests and development frameworks.

Preferred qualifications:

6+ months of experience in any of the skills below will be considered preferred:

• Developing and optimizing GPU firmware and software.
• GPU architectures and how they influence software design and performance.
• Hands-on experience with AI-powered code generation tools (e.g., GitHub Copilot) for accelerating software development and enhancing code quality.