AI Systems Performance and Simulation Engineer

Job Details

Job Description

Job Description

About the Role and Team The Intel DCG AISOC organization is developing high-performance accelerated AI platforms.Real-world inference performance, latency

SLOs, and TCO are governed by full-system interplay

dynamic batching, distributed KV cache movement, scale-up fabrics, and heterogeneous host-accelerator memory hierarchies. We are seeking a highly motivated, versatile College Graduate who is a proactive self-starter, hands-on problem solver, and enthusiastic team player. In this role, you will work alongside senior architects to develop, calibrate, and execute simulations modeling next-generation AI hardware and software architectures.

________________________________________ Key Responsibilities

1. Simulation Platform and Frontend Development

Hands-on Feature Implementation

Write clean, modular, and performance-oriented Python or C++ code to implement core simulator features and hardware behavioral models.

Web Frontend and Visualization

Develop lightweight Web Frontends and interactive dashboards to help users configure simulations and visualize complex performance metrics.

Model Calibration

Benchmark and profile baseline AI hardware and serving engines (e.g., vLLM) to extract empirical performance data and calibrate simulator parameters. 2. Simulation Execution and Bottleneck Triage

Trace Replay and Analysis

Run simulation sweeps to replay dynamic production traces (Agentic, multi-turn workloads) and proactively analyze logs to identify system bottlenecks.

Documentation

Document simulation workflows, setup guides, and tool usage instructions clearly to empower stakeholders. 3. Collaboration and Communication

Proactive Engagement

Reach out to senior architects and software teams to understand their requirements and translate feedback into simulator improvements.

Global Synergy

Present findings and tool demos clearly in English, collaborating effectively as a supportive team player in a global engineering environment.

Qualifications

Qualifications

Minimum Qualifications

Education

Master's or Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related quantitative field (Graduating in 2026/2027).

Technical Skills

Strong proficiency in Python or C++, with basic web development skills.

Systems Foundation

Solid academic understanding of computer architecture (memory hierarchies, caching, pipelining) and operating systems.

Soft Skills and Professional Attributes (Critical)

Proactive and Self-Driven

Takes initiative to solve problems and explore unfamiliar domains without waiting for step-by-step instructions.

Hands-on Mindset

Strong track record of learning by doing through personal coding projects, GitHub repositories, or academic labs.

Communication and English

Excellent verbal and written English skills to document work and confidently collaborate with global teams daily.

Team Player

Highly collaborative, receptive to feedback, and committed to sharing knowledge.

________________________________________ Preferred Qualifications

Simulation Experience

Academic projects or internships involving discrete-event simulators or performance modeling.

Frontend and Visualization

Experience with web and plotting libraries.

AI/LLM Basics

Familiarity with Transformer architectures or inference mechanics (batching, KV cache). We're looking for highly motivated individuals eager to shape the future of artificial intelligence and make a meaningful impact through their work. Join us to collaborate with leading experts, expand your skills, and contribute to game-changing innovations in AI and data solutions.

Job Type

College Grad

Shift

Shift 1 (China)

Primary Location

PRC, Beijing

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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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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.