mid Software Engineer ic · Posted Apr 30, 2026

About this role

Nvidia is hiring a mid-level Software Engineer based in Shanghai, China. The posting calls out experience with Python, C, CUDA, Data Structures.

Role
Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Shanghai, China
Posted
Apr 30, 2026

More roles at Nvidia

Lab Operations Site Supervisor
Santa Clara, CA · mid
Jira Linux
Senior Performance Architect, Nemotron
Santa Clara, CA · principal
Python CUDA PyTorch
Senior System Firmware Engineer - BIOS UEFI
Santa Clara, CA · senior
Python C Bash
Software Solutions Engineer
Pune, India · mid
Python Bash CUDA
SoC Power Architect
Yokneam, Israel · mid
Data Structures Frontend Development Backend Development
All Nvidia jobs →

Job description

from Nvidia careers

At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.

What you will be doing:

  • Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs

  • Work on developing and improving methodologies for profiling data collection from GPUs

  • Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications

    This is an excerpt. Read the full job description on Nvidia careers →