Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model
NVIDIAJob Title
Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model
Role Summary
Develop and deliver features in the CUDA Driver focused on memory model semantics and multi-node scalability for high-performance AI and compute workloads. Work on a cross-functional team that architects, implements, and tests system-level software to enable efficient GPU-accelerated computation across nodes and operating systems.
Experience Level
Senior — minimum of 8 years of related development experience; multiple positions at different seniority levels may be available.
Responsibilities
Primary responsibilities include:
- Architect and implement features related to CUDA's memory model and multi-node scalability.
- Coordinate and drive development across multiple engineering teams.
- Define improvements to CUDA APIs and the programming model for multi-node and memory semantics.
- Write maintainable, well-tested system software in C/C++ for multiple operating systems.
- Debug and optimize multithreaded and distributed system behavior.
Requirements
Must-have:
- Strong C and C++ programming skills.
- At least 8 years of professional software development experience working with large codebases.
- Proven experience driving cross-team projects and coordinating deliverables.
- Familiarity with OS interfaces for threads, process control, and virtual memory.
- Experience writing and debugging multithreaded programs and system-level code for multiple OSes.
- Effective written and verbal communication and presentation skills.
Nice-to-have:
- Experience with parallel computing frameworks (for example, PyTorch) and low-latency AI inference.
- Understanding of system-level architecture: interconnects, memory hierarchy, interrupts, and memory-mapped I/O.
- Knowledge of memory coherence and consistency models.
- Background in kernel-mode development and Linux or Windows systems software development.
Education Requirements
BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
