Senior Software Engineer - CUDA and Unified Memory - Remote

Overview

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!

In Short

• Work on the CUDA driver for GPU acceleration.
• Deliver features and improvements for computational workloads.
• Collaborate with peers across NVIDIA.
• Architect and implement new features for new chips.
• Write maintainable and well-tested kernel and userspace code.
• Develop code for multiple Linux operating systems.
• Coordinate with other teams daily.
• Help define improvements to the CUDA APIs.
• Strong C programming skills are required.
• Minimum of 10+ years of related development experience.

Requirements

• BS or MS degree in Computer Science or related field.
• Experience with large codebases.
• Background with operating system interfaces.
• Experience writing and debugging multithreaded programs.
• Good written communication skills.
• Understanding of system-level architecture is a plus.
• Familiarity with kernel mode development.
• Experience with Windows, Linux, or macOS driver development.
• Some familiarity with C++ is beneficial.

Benefits

• Work with a leading company in accelerated computing.
• Opportunity to shape the future direction of CUDA.
• Be part of a team transforming large industries.
• Engage in exciting problems related to AI and digital twins.