Performance Engineering Intern, Deep Learning and HPC - 2027

China, ShanghaiInternship2026-10-23 → 2026-11-10

Core

Intern supporting performance testing of NVIDIA datacenter products and AI applications, benchmarking workloads on supercomputers to drive engineering studies and marketing materials.

Role type

Intern, Performance Engineer (Deep Learning & HPC)

Builds

Benchmark automation tools and efficient testing processes for AI/HPC workloads

Domain

AI & HPC, Datacenter Computing

Deliverable

production ML models

Required skills

Python scripting, Linux systems, Docker, AI coding assistants, TensorRT-LLM/vLLM/SGLang, data analysis

Preferred skills

CI/CD pipelines, Kubernetes/Slurm, agent workflow building, system-level problem solving

Technologies

Python, Linux, Docker, TensorRT-LLM, vLLM, SGLang, Kubernetes, Slurm

Responsibilities

Benchmark and profile AI/HPC workloads on supercomputers; Aggregate and produce written reports with testing data; Build benchmark automation with AI agents; Collaborate to debug performance issues; Set up and configure systems for benchmarks

Seniority

Intern

About NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to