Applied AI Engineer, Top Hardware Priorities
AI summary of the role
Applied AI Engineer role at AMD focused on building AI-assisted workflows for top hardware and software engineering priorities, including design optimization, verification, simulation, and debugging.
What you’ll do
- Build applied AI workflows for hardware and software engineering priorities such as optimization, verification, debugging, and simulation.
- Convert manual engineering processes into structured tasks with candidate generation, validation, scoring, and logging.
- Partner with domain owners to define success metrics like correctness, performance, and engineer time saved.
- Develop tools that let AI agents use compilers, simulators, formal checks, profilers, and ticket systems.
What you’ll bring
- Strong software engineering in Python and at least one systems language (C++, C, HIP, CUDA, or Rust).
- Experience building applied AI, ML, agentic, automation, or developer tooling systems.
- Ability to work with complex engineering tools, logs, tests, and validation workflows.
- Strong debugging and root-cause analysis skills across software or hardware-adjacent tooling.
Technologies
Python · C++ · HIP · CUDA · Rust · LLM agents · RTL · Verilog · SystemVerilog · formal verification · EDA tools · ROCm
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