Performance Engineering Intern - 2027
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Python
We are now looking for a Consumer & Enterprise Performance Engineer Intern! This position offers the chance to create a significant impact in a dynamic, technology focused company. As a member of the Performance Lab team, you will reach firsthand GPUs and optimize performance from designing stage till whole product lifetime, architectures to extend the state of the art in Gaming, Professional Visualization, Local AI efficiency and performance.
What you’ll be doing:
• Design, config and execute representative benchmark methodologies and real-world use cases that showcase product capabilities across AI/LLM, gaming, workstation, content-creation, and system workloads across servers, PCs, workstations, SoC and laptops.
• Compose competitive analysis reports for internal and external customers to position NVIDIA products appropriately using their evaluation.
• Develop and maintain automation scripts for games/studio/WinAI performance and system monitoring data collection on Windows and Linux to speed up providing business and engineering insights.
• Develop, implement and maintain tools to improve testing efficiency.
What we need to see:
• Pursuing BS or MS degree in Computer Science or similar computer discipline.
• Good knowledge of Python or other scripting languages.
• Good knowledge of PC systems and components.
• Experienced and passionate about PC games or local AI.
• Linux and Windows knowledge.
• Capability to work with a lot of data.
• Good organizational, time management and task prioritization skills.
Ways to stand out from the crowd:
• Familiarity with NVIDIA GPUs and NVIDIA Technologies.
• Knowledge of OpenGL, Direct X and D3D.
• Experience developing AI agents or agentic workflows.
• Knowledge of containerized and virtualized workflows, including Docker, Kubernetes, and virtual machines.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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