The Applied AI Engineer role at AMD focuses on transforming complex engineering workflows into AI-assisted systems that enhance productivity and accuracy. The team collaborates closely with hardware and software engineering experts to address high-priority AI-for-engineering challenges. This position emphasizes building workflows for optimization, verification, debugging, and automation. Candidates will engage in practical, measurable work that directly impacts engineering efficiency and effectiveness.

• Strong software engineering experience in Python and at least one systems language such as C++, C, HIP, CUDA, or Rust.
• Experience building applied AI, ML, agentic, automation, or developer tooling systems for technical users.
• Ability to work with complex engineering tools, logs, tests, benchmark harnesses, and validation workflows.
• Strong debugging and root-cause analysis skills across software systems, AI workflows, or hardware-adjacent tooling.
• Excellent collaboration and communication skills with domain experts, engineering leads, research teams, and program stakeholders.

• Build applied AI workflows for top hardware and software engineering priorities, including optimization, verification, debugging, simulation, and automation workflows.
• Convert manual engineering processes into structured tasks with inputs, candidate generation, validation, scoring, logging, and reproducible comparisons.
• Partner with domain owners to define success metrics such as correctness, performance, resource usage, quality, latency, coverage, engineer time saved, or issue classification accuracy.
• Develop tools that let AI agents use compilers, simulators, formal checks, profilers, benchmark harnesses, ticket systems, and engineering knowledge sources.
• Build human-in-the-loop workflows for tasks where annotated data, expert judgment, or subjective triage is required.
• Improve model and agent performance through better prompts, tool interfaces, retrieval, evaluation datasets, graders, and structured feedback.
• Work with research and infrastructure teams to generalize repeated patterns into reusable platforms, harnesses, dashboards, and data assets.
• Communicate progress through measurable outcomes, demos, concise technical writeups, and clear stakeholder updates.

• AMD provides a competitive 'Total Rewards' package that focuses on financial growth, health, and work-life balance.