AI-Driven GPU Applications Engineer for Data Center

AMD; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

AMD is seeking an experienced Datacenter Product Application Engineer in Austin to work directly with key customers across cloud, enterprise, and AI segments. You will bring next-generation AMD Instinct accelerators to market, guiding bring-up, validation, and test methods while collaborating with internal teams to resolve complex hardware/software issues.

You will leverage PCIe know-how, server/system architecture familiarity, and strong communication skills to drive successful deployments in

Qualifications

• Experience with PCIe standard and PCIe-based hardware development.
• Familiarity with high-speed I/O signals, power and performance analysis.
• Strong communication skills for engaging with customers.
• Hands-on technical problem solving at hardware-software interface.

Responsibilities

• Directly manage technical interactions with key customers to enable deployment of AMD Instinct Accelerators.
• Support bring-up and validation of AMD Instinct GPUs in customer systems; guide customers on AMD tools and test methods.
• Lead debugging of customer-reported hardware/firmware issues with cross-functional teams; drive root-cause analysis.
• Develop manufacturing/screen tests to ensure reliability at scale; understand customer schedules and gaps to close them.
• Author design guidelines, technical presentations, and training material; provide recommendations to improve customer experience with SW/HW.

Skills

Customer engagement

Analytical problem-solving

Strong communication

Cross-functional collaboration

Hardware/software intersection

Education

BS/MS (CS/CE/EE)

Tools

Linux (Enterprise)

Shell/Bash

Python

C/C++

Job description

AMD is seeking an experienced Datacenter Product Application Engineer in Austin to work directly with key customers across cloud, enterprise, and AI segments. You will bring next-generation AMD Instinct accelerators to market, guiding bring-up, validation, and test methods while collaborating with internal teams to resolve complex hardware/software issues.

You will leverage PCIe know-how, server/system architecture familiarity, and strong communication skills to drive successful deployments in