Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

Nvidia

Confirmed live today Trusted

Closes in 5 days

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 43 days ago
Freshness: Confirmed live today
Closes: Nov 1, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k

This role $236k

$153k $302k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $196,750–$238,700 — the blue band above. At the midpoint, this role pays about $236k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

Role Posting Log in to save

As a Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing, you will join a team developing the CUDA Driver to accelerate general purpose computation on the GPU. You will architect, evangelize, and implement new features while coordinating development efforts across multiple teams to improve CUDA APIs and programming models. Your daily work involves extending functionality for CUDA Graphs and MPS, writing maintainable code for multiple operating systems, and solving complex problems in deep learning, scientific computation, and data science. The role requires expert C and C++ programming skills, experience with large codebases, and knowledge of operating system interfaces for threads, process control, and virtual memory. You should possess a background in multithreaded programming, parallel computing, and system level architecture including memory hierarchy and kernel mode development.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

C C++ CUDA Kernel Mode Development Parallel Computing Linux Systems Software Device Drivers Virtual Memory Memory-Mapped IO MPS CUDA Graphs Operating System Interfaces

What you'll do

Architect, evangelize, and implement new features for the CUDA Driver.
Coordinate and drive development efforts across multiple engineering teams.
Define forward-looking improvements to CUDA APIs and the programming model.
Extend CUDA programming models and functionality such as CUDA Graphs and MPS.
Write effective, maintainable, and well-tested code for multiple operating systems.
Develop software to accelerate general-purpose computation for deep learning and scientific workloads.

What we're looking for

BS or MS degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
Strong C and C++ programming skills.
Minimum of 8-10 years of related development experience.
Experience driving projects across multiple teams.
Experience with operating system interfaces for threads, process control, and virtual memory.
Experience writing and debugging multithreaded programs.
Good written communication and presentation skills.
Prior experience with parallel computing, such as writing CUDA programs or libraries (preferred).

Save