Principal Engineer, CUDA UMD - GPU Kernel Scheduling

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 272,000 - 431,250; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is looking for a seasoned software professional to work on the CUDA Driver, an essential part of our platform for accelerating general purpose computation on the GPU. This role involves delivering features to enhance NVIDIA hardware for various computational workloads including AI, data science, and gaming.

The ideal candidate should have a BS or MS in Computer Science or related field and at least 15 years of experience in software development. Strong C and C++ programming skills are required, along with a background in multithreading and OS interfaces.

The salary range is $272,000 - $431,250 based on experience and location.

Qualifications

• 15+ years of related development experience.
• Experience driving projects across multiple teams.
• Experience writing and debugging multithreaded programs.

Responsibilities

• Evangelize, architect, and implement new features.
• Coordinate and drive development efforts across multiple teams.
• Help define improvements to the CUDA APIs and programming model.

Skills

C programming skills

C++ programming skills

Good written communication

Presentation skills

Education

BS or MS degree in Computer Science, Electrical Engineering or related field

Job description

We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU.

You will be an integral part of a team that 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, data science and self‑driving cars to video games and virtual reality.

What you’ll be doing

• Evangelize, architect, and implement new features
• Coordinate and drive development efforts across multiple teams
• Help define forward‑looking improvements to the CUDA APIs and programming model
• Extend important CUDA programming models and functionality such as CUDA Graphs
• Explore ways to use Graphs to improve the scheduling of AI/ML workloads on our GPUS to be more efficient and faster.
• Write effective, maintainable, and well‑tested code
• Develop code for multiple operating systems

What we need to see

• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
• Strong C and C++ programming skills
• Minimum of 15+ years of related development experience (multiple positions for varying experience levels open)
• Experience driving projects across multiple teams
• Experience working with large codebasesBackground with operating system interfaces for threads, process control, and virtual memory
• Experience writing and debugging multithreaded programs
• Good written communication as well as presentation skills

Ways to stand out from the crowd

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

NVIDIA is committed to fostering a diverse 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.