System Software Engineer - CUDA Chips

Responsibilities

• In this role, you will:
• Develop Software on Pre-Si environments(Simulation/Emulation)
• Own and drive CUDA enablement for new Silicon and Architecture
• Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
• Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
• Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
• Write effective, maintainable, and well-tested code
• Developing code for multiple operating systems
• What we need to see:
• BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
• 2+ years of relevant systems software development experience
• Strong C programming skills, knowledge of parallel programming
• Excellent knowledge of computer system architectures
• Experience with operating system interfaces for threads, process control, and virtual memory
• Experience writing and debugging multithreaded programs
• Background with working with large codebases
• Deep understanding of technology and passionate about what you do
• Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups
• Ways to stand out from the crowd:
• Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Knowledge of memory coherence and consistency models
• Background with kernel mode development
• Experience with Windows, Linux, or macOS driver development
• Some familiarity with C++, CUDA experience
• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until June 26, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

Additional Information

We are hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality. CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at NVIDIA? Share your experience