Applied AI Engineer — Hardware‑Driven AI Workflows

Advanced Micro Devices; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

AMD in Santa Clara, CA is hiring Applied AI Engineers to collaborate with hardware and software teams on AI-for-engineering efforts. You’ll build AI-assisted workflows that generate candidates, validate correctness, measure quality, and accelerate product problem solving.

You will engage across design optimization, verification, simulation, firmware, performance debugging, and compute library optimization with a practical, collaborative approach.

Qualifications

• Bachelor’s degree in CS/CE/EE/ML, or equivalent practical experience; Master’s preferred.
• 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 across software systems, AI workflows, or hardware‑adjacent tooling.

Responsibilities

• 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.

Skills

Python

C++

CUDA

Rust

AI workflows

Debugging

Education

Bachelor's degree in CS/CE/EE/ML or related

Tools

Verilog/SystemVerilog

EDA tools

ROCm/HIP

Job description

AMD in Santa Clara, CA is hiring Applied AI Engineers to collaborate with hardware and software teams on AI-for-engineering efforts. You’ll build AI-assisted workflows that generate candidates, validate correctness, measure quality, and accelerate product problem solving.

You will engage across design optimization, verification, simulation, firmware, performance debugging, and compute library optimization with a practical, collaborative approach.