7 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Evangelize, architect, and implement new CUDA features.
- Coordinate and drive development efforts across multiple teams.
- Collaborate with hardware architecture teams and internal and external partners.
- Define improvements to CUDA APIs and programming models.
- Build and maintain performance and precision models.
- Write effective, maintainable, well-tested code for multiple operating systems.
Requirements
- Bachelor of Science or Master of Science degree in computer science, electrical engineering, or a related field, or equivalent experience.
- 5+ years of relevant experience developing systems software.
- Strong C programming skills.
- Experience designing, debugging, and maintaining complex software stacks.
- Experience with operating system interfaces for threads, process control, and virtual memory.
- Experience with hardware/software co-design, performance modeling through emulation or simulation, and exposing hardware features through software programming models.
- Understanding of interconnects, memory hierarchy, interrupts, and memory-mapped I/O.
- Strong interpersonal, verbal, and written communication skills.
- Preferred experience includes kernel scheduling, task runtimes, kernel-mode development, Linux systems software, CUDA programs or CUDA-based libraries, memory coherence and consistency models, programming model or higher-level language support, and distributed training or inference patterns.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 6, 2026.
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.