3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and implement new CUDA driver features for NVIDIA Tegra devices.
- Coordinate development efforts across multiple teams.
- Help define improvements to CUDA APIs and the CUDA programming model.
- Write effective, maintainable, and well-tested code.
- Develop software targeting Tegra devices.
- Integrate AI practices into development workflows across the compute organization.
Requirements
- BS or MS degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 8+ years of relevant industry experience or equivalent academic experience after a bachelor’s degree.
- Strong C and C++ programming skills.
- Experience working with large codebases.
- Experience with operating-system interfaces for threads, process control, and virtual memory.
- Experience writing and debugging multithreaded programs.
- Understanding of system-level architecture, including interconnects, memory hierarchy, interrupts, and memory-mapped I/O.
- Strong interest in system software and good written communication.
- Preferred experience with parallel computing, CUDA programs or libraries, user-mode driver development, Linux systems software, and maintaining or extending programming models or higher-level language support.
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.