Senior System Software Engineer - CUDA Chips

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara is seeking senior software engineers to advance the CUDA driver, a core part of our platform. You will collaborate with hardware and software teams to design, develop, and bring up CUDA features on new chips and SOCs.

The role emphasizes system software, OS interfaces, kernel programming, and performance optimization across Windows, Linux, and macOS. You will contribute across the entire lifecycle from pre-silicon modeling to production deployment, with

Qualifications

• BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience.
• 5+ 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.
• Good written communication and collaboration skills.

Responsibilities

• 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, and contribute to bring up of CUDA on new chips.
• Help define forward-looking improvements to the CUDA APIs and programming model across multiple teams.
• Write effective, maintainable, and well-tested code.
• Developing code for multiple operating systems.

Skills

C programming

Multithreading

Parallel programming

Operating systems

Software development

Education

BS or MS in Computer Engineering/CS/EE

Tools

CUDA

Kernel debugging

Job description

We are hiring senior 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!

What you'll be doing:

You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!

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
• 5+ 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 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 September 4, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.