Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

We're looking to grow our company, and form teams with the smartest people in the world.

Join us at the forefront of technological advancement.

Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills?

If so, this role might be for you.

We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU.

You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality.

What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.

You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

Evangelize, architect, and implement new features

Coordinate and drive development efforts across multiple teams

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

Extend important CUDA programming models and functionality such as CUDA Graphs and MPS (Multi-Process Service)

Write effective, maintainable, and well-tested code

Develop code for multiple operating systems

What we need to see:

BS or MS degree in Computer Science, Electrical Engineering or 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 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 as well as presentation skills

Ways to stand out from the crowd:

Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA

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

Knowledge of memory coherence and consistency models

Background with kernel mode development

Experience with Linux Systems Software development

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.