NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

‍

As a System Software Engineer Intern on our System Profiling team, you will develop and improve the key software and systems for perf & power verification/analysis activities that are done internally in high-impact chip and SW projects. Your work will bring the users intuitive, rich and accurate insight in how to optimize the workload, or how to improve the performance and power efficiency of NVIDIA products with outstanding tools.

‍

What you will be doing:

‍

Build internal profiling/analysis tools for real world application perf/power analysis at system from small to large scale.
Build infrastructure or services for data visualization/mining and management.
Work with our users to build their perf/power models on top of our tools for next generation HW design.

‍

What we need to see:

‍

Pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering.
Strong programming skills with Python and C++.
Familiar at Linux kernel subsystems, eBPF, or computer networking and RDMA.
Proven understanding of solving low level software and hardware problems.

‍

Ways to stand out from the crowd:

‍

Understands how distributed DL training / inference works.
Strong knowledge of Windows/Linux OS internals and performance profiling tools.
Hands-on experience with Linux kernel programming, eBPF tracing, or high-speed networking/RDMA frameworks.
Experience in contributing to large open-source projects.
Contributions to DL frameworks like PyTorch/JAX/TensorFlow is a huge plus.

‍

About the company

Nvidia

Company overview

NVIDIA designs GPUs and full-stack accelerated computing platforms used in gaming, professional visualisation, AI, and data centres. NVIDIA also builds networking and systems products for large-scale computing, plus software platforms such as CUDA and AI libraries that developers use to train and run models. NVIDIA sells to cloud providers, enterprises, researchers, and OEM partners, alongside a large consumer gaming ecosystem. NVIDIA is headquartered in Santa Clara, California and operates globally.

Locations and presence

NVIDIA’s corporate headquarters is in Santa Clara, California, and NVIDIA operates across dozens of countries (38 countries reported for fiscal year 2025). NVIDIA reports a “flexible work environment” with work-from-home under certain conditions, with day-to-day expectations varying by team and role.

Palpable Score

76.6

/ 100

NVIDIA is a strong early-career option because NVIDIA runs a clear set of student and new-grad pathways, and NVIDIA positions internships as the main pipeline into early-career hiring. The main friction point is hiring consistency: NVIDIA publishes an applicant-facing process, but public interview reports still include ghosting and uneven closure. Pay and intern experience signals are strong, while long-run early-career outcomes are not published as metrics candidates can easily compare.

view full company profile >

System Software Engineer Intern, AI Performance And Efficiency Tools - Summer 2026

Nvidia

What you will be doing:

‍

What we need to see:

Ways to stand out from the crowd:

About the company

Nvidia

Company overview

Locations and presence

Palpable Score

Related jobs