AI Server Platform Performance Engineer

Intel Corporation; Prescott (AZ); On-site; USD 27,000 - 36,000; Full time

Job summary

Intel Corporation in Shanghai invites motivated graduates to join a platform performance engineering program focused on AI server platforms. You will learn topology validation and performance analysis across CPU host, GPU I/O, memory, storage, and network interactions, and help develop validation methodologies and benchmarks.

You will work with senior engineers to debug issues, summarize findings, and propose practical improvements from the host platform perspective.

Qualifications

• Candidate must be upcoming Master’s degree graduate in EE/CS/CE.
• Strong fundamentals in computer architecture and systems.
• Experience with GPU architectures or CUDA/OpenCL is a plus.
• Ability to automate tests and analyze performance results.
• Excellent written and verbal English communication.

Responsibilities

• Learn topology validation and performance analysis for AI server platforms across CPU, GPU, memory, storage, and network interactions.
• Support validation plan development, benchmark execution, data collection, and result analysis.
• Collaborate with senior engineers to debug performance issues and propose practical improvements.
• Communicate test progress and document technical observations with cross-functional teams.

Skills

Computer architecture

Operating systems

CPU I/O subsystems

GPU computing basics

Python

C/C++

Shell scripting

English communication

Teamwork

Learning agility

Education

Master's degree

Electrical Engineering

Computer Science

Computer Engineering

Tools

CUDA

ROCm

OpenCL

SYCL

Job description

Intel Corporation in Shanghai invites motivated graduates to join a platform performance engineering program focused on AI server platforms. You will learn topology validation and performance analysis across CPU host, GPU I/O, memory, storage, and network interactions, and help develop validation methodologies and benchmarks.

You will work with senior engineers to debug issues, summarize findings, and propose practical improvements from the host platform perspective.