1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop AI networking communication frameworks and production applications.
- Develop production tools and benchmarks used by teams inside and outside NVIDIA.
- Enable new AI models in benchmarking infrastructure and analyze large-scale workloads across hardware and software stacks.
- Design and implement automation systems, including large-scale parameter searches for optimal system configurations.
- Collaborate with networking and hardware teams to co-design features and software interfaces.
- Identify performance bottlenecks and drive continuous improvements in large-scale AI systems.
Requirements
- Bachelor’s or master’s degree in computer science or software engineering, or equivalent experience.
- 5+ years of experience.
- Professional Python development experience building maintainable, long-lived tools.
- Solid Linux expertise and comfort working extensively in command-line environments.
- Ability to work across hardware, networking, and large-scale AI cluster systems.
Benefits
- Base salary is listed by level, with equity and benefits also provided.
- Applications are accepted at least until November 9, 2026.
Tech Stack
Categories
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.