Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

OVERVIEW 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 smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers and phenomenal C/C++ skills? If so, this role might be for you. RESPONSIBILITIES 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. 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 and MPS (Multi‑Process Service). Write effective, maintainable, and well‑tested code. Develop code for multiple operating systems. QUALIFICATIONS We need to see the following: BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience). Strong C and C++ programming skills. Minimum of 8‑10 years of related development experience. 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. 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. BENEFITS & 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 USD 184,000 – 287,500 for Level4, and USD 224,000 – 356,500 for Level5. You will also be eligible for equity and benefits. EEO & INCLUSION STATEMENT NVIDIA is committed to fostering an inclusive work environment and is a proud 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. #J-18808-Ljbffr NVIDIA Corporation