Infinity Fabric Firmware Engineer

Advanced Micro Devices; Austin (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Advanced Micro Devices (AMD) seeks a Firmware Engineer to contribute to Infinity Fabric IP firmware development across AMD product families. You will enable features, help bring up silicon, and ensure ongoing quality in pre- and post-silicon environments.

Ideal candidates have strong C for embedded systems, Python scripting, and a solid grounding in computer architecture, memory maps, and NUMA concepts. Collaboration across distributed teams and robust tooling are key.

Qualifications

• Experience with firmware development for SoCs in pre- and post-silicon environments.
• Strong C programming skills for embedded systems and debugging.
• Proficiency in Python and Linux scripting for data parsing and automation.

Responsibilities

• Develop firmware features for Infinity Fabric across AMD products, including design, documentation, testing and debug.
• Enhance Python-based tools to generate hardware initialization binaries.
• Create tools in Python/C++ to collect, process and validate hardware data.
• Collaborate with architects to define firmware scope and milestones.
• Perform unit/integration testing across emulation, sim, and post-silicon flows.
• Participate in design reviews to ensure quality and maintainability.
• Support firmware lifecycle with internal/external teams.

Skills

Low-level C programming

Python

Linux scripting

Firmware development

Debugging & performance optimization

Computer architecture (NUMA)

Education

BS in Computer Science / Computer Engineering

Tools

Git

Gerrit

Simulation/Emulation platforms

Job description

Advanced Micro Devices (AMD) seeks a Firmware Engineer to contribute to Infinity Fabric IP firmware development across AMD product families. You will enable features, help bring up silicon, and ensure ongoing quality in pre- and post-silicon environments.

Ideal candidates have strong C for embedded systems, Python scripting, and a solid grounding in computer architecture, memory maps, and NUMA concepts. Collaboration across distributed teams and robust tooling are key.