Senior Software Engineer - CUDA and Unified Memory

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU.

Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!

CUDA defines a unified programming model across a range of system configurations and hardware capabilities.

To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.

Unified Memory kernel driver provides kernel memory management that enables these advanced features.

What you'll be doing:

As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world.

You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!

Architect, and implement new features for new chips and new kernel features

Coordinate with other teams to accomplish your work daily

Help define forward-looking improvements to the CUDA APIs and programming model

Write effective, maintainable, and well-tested kernel and userspace code

Develop code for multiple Linux operating systems

What we need to see:

BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

Strong C programming skills

Minimum of 10+ years of related development experience

Experience working with large codebases

Background with operating system interfaces for threads, process control, and virtual memory

Experience writing and debugging multithreaded programs

Good written communication

Ways to stand out from the crowd:

Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

Knowledge of memory coherence and consistency models

Experience with kernel mode development

Experience with Windows, Linux, or macOS driver development

Some familiarity w C++

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.