Applied AI Engineer, Top Hardware Priorities

Updated October 27, 2026

Pay not postedSanta Clara, CA7w ago

Applied AI Engineers build measurable AI-assisted workflows for AMD’s high-priority hardware and software engineering problems.

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At a glance

Posted base pay

Not posted

Median $187K

Typical senior FDE payMiddle 50% of 1,826 postings$160K–$216K

The work

Builds for teams inside the company

Balance

Mostly building
Mixed
Mostly pre-sales or support

Project stages

Pre-sales (not covered)
Proof of concept (not covered)
Implementation
Operations (not covered)

Coding: Writes production code
Builds for: Internal teams
Level: Senior
Role: Individual contributor

What they ask for

Tools

Python
C++
HIP
CUDA
Rust
ROCm
Verilog/SystemVerilog
EDA tools
LLM agents
formal verification

Less common in FDE jobs

Who you build for: Internal teams14%
Company stage: Public29%
Company size: About 5,000+ people34%

Share of US FDE postings that state each fact.

What you’ll do

Build AI workflows for optimization, verification, debugging, simulation, and automation
Convert manual engineering processes into structured, validated, reproducible tasks
Define metrics for correctness, performance, coverage, latency, resource usage, and time saved
Connect AI agents to compilers, simulators, profilers, benchmarks, ticket systems, and knowledge sources

What you’ll bring

Bachelor’s degree in a relevant technical field or equivalent practical experience
Strong Python and at least one of C++, C, HIP, CUDA, or Rust
Experience building applied AI, ML, agentic, automation, or developer tooling systems
Ability to work with engineering tools, logs, tests, benchmark harnesses, and validation workflows

About AMD

Designs high-performance and adaptive computing products—CPUs, GPUs, networking and embedded processors—for data centers, PCs, gaming and embedded systems.

Public · 5000+ people

View posting at AMD