Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 4
Linux @ 4
Distributed Systems @ 3
Communication @ 7
Networking @ 4
Debugging @ 4
API @ 4
CUDA @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads like deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture. You will help design software solutions across kernel mode components, compilers, and networking software.
Your system-level expertise and creativity in solving complex problems will help invent the future of CUDA and NVIDIA’s compute technologies.
Responsibilities
- Evangelize, architect, and implement new CUDA features
- Coordinate and drive development efforts across multiple teams
- Collaborate with members of hardware architecture teams
- Define forward-looking improvements to the CUDA APIs and programming model
- Build and maintain performance and precision modeling
- Write effective, maintainable, and well-tested code
- Develop code for multiple operating systems
Requirements
- Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 5+ years of relevant experience in developing systems software
- Strong C programming skills
- Experience designing, debugging, and maintaining complex software stacks
- Experience with operating system interfaces for threads, process control, and virtual memory
- Experience with HW/SW co-design, performance modeling using emulation/simulation, and developing software programming model exposures for hardware features
- Understanding of system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
- Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under tight time constraints
Preferred / Ways to stand out
- Prior experience with parallel computing — preferably writing CUDA programs or libraries that use CUDA
- Knowledge of memory coherence and consistency models
- Background with kernel mode development
- Experience with Linux systems software development and maintaining/extending programming models or higher-level language support
- Familiarity with distributed systems and training/inference patterns (data/model/pipeline parallelism) and deep learning frameworks
Compensation & Benefits
- Base salary range: 152,000 USD - 241,500 USD for Level 3
- Base salary range: 184,000 USD - 287,500 USD for Level 4
- You will also be eligible for equity and benefits (see company benefits page)
Additional information
- Applications accepted at least until March 29, 2026
- This posting is for an existing vacancy
- NVIDIA uses AI tools in its recruiting processes
- NVIDIA is an equal opportunity employer and states it does not discriminate on protected characteristics