About the Role
As a Senior Staff Software Engineer focused on GPU memory system infrastructure, you will be joining a team of software and hardware engineers that architect, design, and implement features related to GPU memory management. This is a crucial area that is experiencing rapid development due to the evolving needs of AI, deep learning, HPC, and graphics. Your work will involve low-level software interaction with hardware and will have a broad impact across all NVIDIA products. You will have opportunities to define future architectures for NVIDIA GPUs and SW.
What you'll be doing:
- Design and implement new features and improvements to the GPU memory management unit (MMU) and related hardware and software.
- Improve performance, stability, and robustness of GPU memory management.
- Participate in all phases of software development, including research, design, implementation, and debugging.
- Collaborate with other hardware and software teams to define new features and improve the overall system.
- Provide technical leadership and mentorship to junior engineers.
What we need to see:
- BS, MS, or PhD degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
- 10+ years of experience in software development, with a significant focus on system-level programming.
- Expertise in C++ and experience with large-scale software projects.
- Strong understanding of GPU memory management, virtual memory systems, and CPU-GPU interaction.
- Excellent debugging and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
- Experience with operating systems and computer architecture.
Ways to stand out from the crowd:
- Experience with GPU programming models (CUDA, OpenCL, etc.).
- Prior experience in the design and implementation of hardware-software interfaces.
- Experience with complex system-level debugging and performance analysis.