Senior Software Engineer - CUDA Driver

NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads such as deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture. With the opportunity to collaborate with teams across the whole NVIDIA computing stack, you will help design software solutions across kernel mode components, compilers, and networking software.

What you'll be doing:

• Evangelize, architect, and implement new CUDA features
• Coordinate and drive development efforts across multiple teams
• Collaborate with members of hardware architecture teams
• Define forward-looking improvements to the CUDA APIs and programming model
• Build and maintain performance and precision modeling
• Write effective, maintainable, and well-tested code
• Develop code for multiple operating systems

What we need to see:

• 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 I/O
• Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under tight time constraints

Ways to stand out from the crowd:

• Prior experience with parallel computing—preferably writing CUDA programs or libraries that use CUDA
• Knowledge of memory coherence and consistency models
• Background with kernel mode development
• Experience with Linux systems software development as well as experience maintaining and extending programming models or higher-level language support for similar environments
• Familiarity with distributed system and training/inference patterns (data/model/pipeline parallelism) and deep learning frameworks

Compensation: 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 Level3, and 184,000 USD – 287,500 USD for Level4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted until April14,2026.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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.