Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum of 10+ years of related development experience
- Education
- BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
Spotted an issue?
We’ll check it against the original posting.
Role Summary
This software engineering role focuses on the CUDA driver and Unified Memory kernel driver, core components that support GPU-accelerated computation across system configurations and workloads. The team develops CUDA features, APIs, kernel capabilities, and platform improvements for NVIDIA hardware.
What You'll Do
- 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 systems
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong C programming skills; 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
Required
- Strong C programming skills
- 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
Preferred
- 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++
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 systems
What 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 communication
Ways 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++
You will also be eligible for equity and benefits.
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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.