System Software Engineer - CUDA Chips

We are hiring 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 deep learning, scientific computation, self‑driving cars, video games and virtual reality. CUDA helps define a unified programming model across a range of system configurations and hardware capabilities 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. Responsibilities Develop software on pre‑silicon 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 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 Develop code for multiple operating systems Be heavily involved in all aspects of development from design feedback and early modeling to silicon bring‑up and final feature deployment Eager to learn about and contribute to the design of new compute and graphics drivers and GPU architectures Qualifications BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience 2+ years of systems software development experience Strong C programming skills and knowledge of parallel programming Excellent knowledge of computer system architectures Experience with OS 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 passion for the work Strong written communication and collaborative skills to guide and influence across groups Preferred Qualifications Understanding of system‑level architecture (interconnects, memory hierarchy, interrupts, memory‑mapped I/O) 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 Compensation & Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. Base salary range: $124,000 – $195,500 USD. Eligible for equity and benefits. Applications accepted until June26,2026. Equal Opportunity NVIDIA is committed to fostering an inclusive work environment and is 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. NVIDIA uses AI tools in its recruiting processes. The posting is for an existing vacancy. #J-18808-Ljbffr NVIDIA