AI-Powered Virtual Platform Modeling Engineer

AMD; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

AMD is seeking a software engineer to bring SoCs to life in a virtual environment. You will build fast platform models in C++ that simulate software-visible behavior of AMD's CPUs, GPUs, and interconnects, enabling firmware, OS, driver, and application teams to boot and debug months before silicon.

This AI-native role emphasizes architectural judgment and collaboration with architecture, firmware, and software teams, leveraging AI coding tools to accelerate development on cutting-edge silicon.

Qualifications

• Strong C/C++ for high-performance systems software on Linux/Windows.
• Using AI coding assistants/agents as part of day-to-day engineering.
• Understanding of hardware/software interfaces (registers, memory maps, interrupts).
• Experience in pre-silicon verification/emulation, firmware/BIOS bring-up, embedded systems, or GPU/driver development.

Responsibilities

• Architect and build high-performance C++ functional models of AMD SoCs, IP blocks, and platforms.
• Enable firmware, OS, driver, and validation teams to develop and debug against your models months ahead of silicon.
• Improve functionality, stability, and performance of existing models with tests proving correctness.
• Partner with architecture teams to interpret specs and model next-generation designs.
• Debug internal and customer workloads running on the models.
• Advance the simulation framework, debug tooling, and AI-integrated modeling workflow.

Skills

C/C++ programming

AI coding tools

Hardware/software interfaces

Multithreading

Education

Bachelor's or Master’s in CS/CE/EE

Tools

SystemC/TLM-2.0

QEMU

Simics

GEM5

Job description

AMD is seeking a software engineer to bring SoCs to life in a virtual environment. You will build fast platform models in C++ that simulate software-visible behavior of AMD's CPUs, GPUs, and interconnects, enabling firmware, OS, driver, and application teams to boot and debug months before silicon.

This AI-native role emphasizes architectural judgment and collaboration with architecture, firmware, and software teams, leveraging AI coding tools to accelerate development on cutting-edge silicon.