Senior Systems Software Engineer, CUDA Driver

NVIDIA Corporation; Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

NVIDIA Corporation in Bengaluru is seeking senior software engineers to work on the CUDA driver for Tegra. You will architect and implement features, coordinate across teams, and help shape the CUDA API and programming model.

The role emphasizes writing robust, well-tested code for Tegra devices and integrating AI practices into the compute workflow. Required are 8+ years of experience, a strong background in C/C++, and familiarity with large codebases and Linux system interfaces.

Qualifications

• BS or MS in Computer Science, Electrical Engineering or related field (or equivalent experience).
• 8+ years of relevant industry experience or equivalent academic experience after BS.
• Strong C and C++ programming skills.
• Experience with large codebases and OS interfaces for threads, processes, and virtual memory.
• Experience writing and debugging multithreaded programs.
• Understanding of system-level architecture, including memory hierarchy and IO.
• Good written communication.

Responsibilities

• Architect and implement new features for CUDA driver?
• Coordinate development across multiple teams.
• Define forward-looking improvements to CUDA APIs and programming model.
• Write effective, maintainable, and well-tested code.
• Focus on developing code for Tegra devices.
• Integrate AI practices into compute workflows.

Skills

C/C++

Multithreading

Large codebases

OS interfaces

Parallel computing

Linux

Education

BS in CS/EE or related

MS acceptable

Tools

CUDA driver

Linux

Job description

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

We're looking to grow our company and form teams with the most inquisitive people in the world. Join us at the forefront of technological advancement.

We are hiring software engineers to work on the CUDA driver for Tegra. CUDA is NVIDIA's 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 deep learning, scientific computation, and self-driving cars to video games and virtual reality.

CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, user mode drivers, and the operating system.

What you'll be doing:

• You will architect and implement new features
• Coordinate development efforts across multiple teams
• Help define forward-looking improvement to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested code
• Focus on developing code that targets the Tegra devices
• Integrate AI practices into the development workflows across the compute organisation

What we need to see:

• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
• 8+ years of relevant industry experience or equivalent academic experience after BSStrong 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, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Strong interest in system software
• Good written communication

Ways to stand out from the crowd:

• Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA
• User mode driver development experience
• Experience with Linux Systems Software development as well as experience maintaining and extending programming models or higher-level language support for similar environments

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.