Platform Power Thermal Performance Engineer

Intel is hiring a Platform Power Thermal Performance Engineer in Shanghai, China. Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Python, C and computer architecture among its tools and skills.
Level classes it as a junior role.
Intel has 842 other open roles on Level.

AI in this role

Contribute to platform performance validation and optimization for AI server platforms, focusing on CPU and GPU interactions.

PythonC

computer-architectureperformance-engineeringgpubenchmarking

Job Details:

Job Description:

We are looking for motivated graduate candidates who are interested in platform performance engineering for AI server platforms. In this role, you will learn and contribute to GPU-as-an-I/O-device performance validation and optimization, working across CPU host architecture, I/O subsystems, GPU device interactions, and server-level performance analysis. You will work with experienced engineers to develop validation methodologies, execute performance experiments, analyze results, and support technical issue investigation across reference designs and customer-oriented systems. This role provides a strong opportunity to build hands-on expertise in modern AI infrastructure, from single-server performance tuning to cluster-scale design concepts. Roles and Responsibilities • Learn and contribute to topology validation and performance analysis for AI server platforms, covering CPU host, GPU, memory, storage, and network interactions. • Support validation plan development, benchmark execution, data collection, and result analysis for CPU host and GPU I/O performance studies. • Work with senior engineers to debug performance issues, summarize findings, and propose practical improvement ideas from the host platform perspective. • Collaborate with cross-functional teams to communicate test progress, document technical observations, and support issue closure under guidance.

Qualifications:

This role is designed for graduate candidates who want to grow into platform performance engineers. You will have opportunities to develop practical expertise in AI server architecture, CPU host performance, GPU I/O behavior, benchmarking methodology, and at-scale platform optimization concepts. We value strong technical fundamentals, curiosity, hands-on learning ability, and clear communication. 1. Solid fundamentals in computer architecture, operating systems, or computer systems, with interest in CPU, memory, and I/O subsystem behavior. 2. Basic understanding of GPU computing, parallel programming, or accelerator-based systems; related coursework, research, or project experience is a plus. 3. Interest in AI infrastructure and at-scale system concepts, including server architecture, scale-up/scale-out design, networking, and storage. Candidates should be upcoming graduates with a Master of Science degree, or higher, in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field. The ideal candidate is passionate about learning new technologies, solving complex system problems, and improving validation efficiency through structured analysis and automation. • Solid understanding of computer architecture and system fundamentals; exposure to concepts such as PCIe/CXL, coherency, IOMMU, NUMA, or host-device data movement is a plus. • Basic knowledge of GPU architecture, GPU programming, or AI accelerator software stacks; experience with CUDA, ROCm, OpenCL, SYCL, or related frameworks is a plus. • Interest in AI server and cluster-level system design, including GPU scale-up, server scale-out, networking, storage, and performance bottleneck analysis. • Familiarity with benchmark methodology, performance metrics, and experiment design; hands-on lab, coursework, internship, or research project experience is preferred. • Good programming and scripting skills, such as Python, C/C++, or shell scripting, with the ability to automate tests, process data, and support performance analysis. • Experience in system validation, performance testing, Linux-based development, machine learning/deep learning workloads, networking, storage, or GPU computing through internship, research, or academic projects is a plus. • Strong learning agility, problem-solving mindset, teamwork, and ability to work in a fast-changing technical environment. • Good verbal and written English communication skills, with the ability to document technical findings clearly.

Job Type:

College Grad

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

Platform Power Thermal Performance Engineer at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Platform Power Thermal Performance Engineer is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in PRC, Shanghai.
The job was posted on August 12, 2026.
Seniority: junior.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer ArchitecturePerformance EngineeringGPUBenchmarkingPythonC

Questions you could be asked

Tell me about a project where computer architecture was part of your work. What did you do?
Tell me about a project where performance engineering was part of your work. What did you do?
Tell me about a project where gpu was part of your work. What did you do?
Tell me about a project where benchmarking was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer Architecture, Performance Engineering, GPU, Benchmarking, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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