3 days ago
Base Salary
$272k - $431k/yr
Responsibilities
- Architect, implement, and evangelize new CUDA Driver features.
- Coordinate and drive development efforts across multiple teams.
- Define forward-looking improvements to CUDA APIs and the programming model.
- Extend CUDA programming models and functionality, including CUDA Graphs.
- Explore GPU scheduling improvements for AI/ML workloads using CUDA Graphs.
- Write effective, maintainable, and well-tested code.
- Develop software for multiple operating systems.
- Collaborate with peers across NVIDIA to shape CUDA's technical direction.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- Strong C and C++ programming skills.
- At least 15 years of related development experience; the posting notes that positions for varying experience levels are available.
- Experience driving projects across multiple teams.
- Experience working with large codebases.
- Knowledge of operating-system interfaces for threads, process control, and virtual memory.
- Experience writing and debugging multithreaded programs.
- Good written communication and presentation skills.
- Preferred: experience with parallel computing, CUDA programs, or CUDA libraries.
- Preferred: understanding of system-level architecture, including interconnects, memory hierarchy, interrupts, and memory-mapped I/O.
- Preferred: knowledge of memory coherence and consistency models.
- Preferred: kernel-mode development experience.
- Preferred: Linux systems software development and experience maintaining or extending programming models or higher-level language support.
Benefits
- Equity and benefits are provided.
- Expected base salary range is USD 272,000–431,250, varying by location, experience, and other objective job-related factors.
- Applications are accepted at least until November 9, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.