Principal Engineer, CUDA UMD - GPU Kernel Scheduling

About the role

NVIDIA is seeking a seasoned software professional to join our team as a System Software Engineer specializing in CUDA Driver. This role involves working on the core component of our platform for accelerating general purpose computation on the GPU.

Responsibilities

• Use design abilities, coding expertise, and creativity to deliver the best compute platform in the world.
• Craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.
• 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.

Requirements

• 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 codebases.
• Background 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.

Qualifications

• 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 I/O.
• 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.

Skills

• Strong C and C++ programming skills.
• Experience with CUDA Driver and CUDA APIs.
• Knowledge of system level architecture and memory coherence and consistency models.
• Experience with multithreading and debugging.
• Excellent written and verbal communication skills.

Benefits

• Competitive base salary ranging from $272,000 to $431,250 USD based on location, experience, and the pay of employees in similar positions.
• Eligibility for equity and benefits.

Pay

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 - $431,250 USD.

Schedule

This posting is for an existing vacancy. Applications will be accepted until July 14, 2026.