Senior Software Engineer - CUDA and Unified Memory
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- C
- C++
- Linux kernel
- CUDA
We are hiring software 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, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features. What you'll be doing: As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!
• Architect, and implement new features for new chips and new kernel features
• Coordinate with other teams to accomplish your work daily
• Help define forward-looking improvements to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested kernel and userspace code
• Develop code for multiple Linux operating systemsWhat we need to see:
• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
• Strong C programming skills
• Minimum of 10+ years of related development experience
• 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 communicationWays to stand out from the crowd:
• Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Knowledge of memory coherence and consistency models
• Experience with kernel mode development
• Experience with Windows, Linux, or macOS driver development
• Some familiarity w C++
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
Same employer
More roles at NVIDIA Corporation
Production Application Engineer, Enterprise
NVIDIA Corporation
Taiwan, Taipei, Taiwan, HsinchuFirmwareOct 29, 2026Architecture Energy Modeling Engineer
NVIDIA Corporation
China, ShanghaiRTL / HDLPhysical designSoC / ASICOct 29, 2026SAP SD Business Systems Analyst
NVIDIA Corporation
India, Pune, India, HyderabadOct 29, 2026Performance Engineering Intern, Deep Learning and HPC - 2027
NVIDIA Corporation
China, ShanghaiOct 29, 2026Performance Engineering Intern - 2027
NVIDIA Corporation
China, ShanghaiSoC / ASICOct 29, 2026PhD Researcher Intern, World Foundation Models
NVIDIA Corporation
Korea, SeoulOct 29, 2026