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.
Linux @ 7
Python @ 1
Communication @ 4
Networking @ 4
Perl @ 1
Debugging @ 4
System Architecture @ 7
CUDA @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
InfiniBand @ 7
- 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 leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
We are looking for highly motivated Senior Software Engineers to work on our GPU Fabric Networking team. Our team develops and maintains software that enables communication between GPUs that power disruptive products in High Performance Computing and Deep Learning.
Responsibilities
- Design, implement and maintain system software that enables communication between GPUs.
- Participate in the architectural definition and design of next-generation communication hardware and software to support large scale computing platforms.
- Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs.
Requirements
- B.S./M.S./Ph.D. in computer science or a related field or equivalent experience.
- 5+ years of relevant experience.
- Excellent C/C++ programming and debugging skills.
- Shell scripting experience; Python and Perl experience is a plus.
- Experience writing software applications that interface with device drivers and expose associated hardware functionality.
- Strong understanding of computer system architecture, operating system and kernel internals.
- Strong experience with Linux and comfortable working in a cross-platform environment (Linux and Windows).
- Experience with multi-core / multi-process / multi-threaded programming environments.
- Strong understanding of networking fundamentals and high-performance networks like Ethernet/InfiniBand.
- Experience with OS virtualization technologies like KVM/QEMU/Hyper-V.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out
- Understanding of CUDA programming model and NVIDIA GPUs.
- Knowledge of memory coherence and consistency models.
- Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques.
Compensation & Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.