Applied AI Engineer: Hardware-Driven AI Solutions

Socket.dev; Santa Clara (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

AMD benefits at a glance

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 will build AI-assisted systems that generate candidates, validate correctness, and measure quality to accelerate real product problems.

You will work across design optimization, verification, simulation, firmware, and performance tuning. The role emphasizes practical impact, collaboration, and rigorous validation across domains.

Qualifications

• Bachelor's degree in CS/EE/ML or related field; Master's preferred; PhD a plus.
• Experience building AI/agentic systems for technical users.
• Strong debugging and root-cause analysis across software/hardware workflows.

Responsibilities

• Build AI-driven workflows for hardware and software engineering priorities.
• Convert manual processes into structured AI tasks with inputs and scoring.
• Partner with domain owners to define success metrics like correctness and latency.
• Develop tools enabling AI agents to use compilers, simulators, and profilers.
• Create human-in-the-loop workflows for data-scarce tasks.
• Improve model and agent performance via prompts and evaluation data.
• Collaborate with research and infra teams to generalize patterns into platforms.

Skills

Python programming

Systems languages (C++, C, HIP, CUDA,,

Applied AI / agentic systems

Debugging & root-cause analysis

Collaboration with stakeholders

Education

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

Tools

CUDA

ROCm/HIP

LLM tools & agent tooling

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 will build AI-assisted systems that generate candidates, validate correctness, and measure quality to accelerate real product problems.

You will work across design optimization, verification, simulation, firmware, and performance tuning. The role emphasizes practical impact, collaboration, and rigorous validation across domains.