- Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 5+ years of relevant experience in 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 HW/SW co-design, performance modeling using emulation/simulation, and developing SW programming model exposures for HW features
- Understanding of system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
- Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under tight time constraints
Ways to stand out from the crowd
- Experience with kernel scheduling, task runtimes, kernel-mode development, and Linux systems software.
- Strong background in parallel computing, preferably writing CUDA programs or CUDA-based libraries.
- Knowledge of memory coherence and consistency models in concurrent/parallel systems.
- Experience maintaining and extending programming models or higher-level language support for Linux or similar environments.
- Familiarity with distributed training/inference patterns (data/model/pipeline parallelism) and deep learning frameworks.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
