Tech Stack
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.
AI
Communication @ 6
GenAI
Generative AI
HPC
Networking
- 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 looking for a Software and Systems Architect to join the NIC Software/Firmware Architecture group. The team develops next-generation data-center DPU platforms in collaboration with hardware and software architects, R&D teams, and external customers.
Responsibilities
- Define next-generation DPU/SmartNIC architecture and features for computing clusters and data centers.
- Define the software stack from the application level to the hardware interface, ensuring seamless integration.
- Collaborate with hardware architects to define new hardware features and software-hardware interfaces for diverse use cases.
- Research network protocols, emerging network technologies, networking drivers, accelerations, and offloading of network-related tasks.
- Explore applications including generative AI inference and training, storage, cybersecurity, high-performance computing, and emulation offloads.
Requirements
- Bachelor's or master's degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
- More than 8 years of demonstrated experience in the field.
- Proven ability to quickly adapt to new technologies and develop deep expertise in new areas.
- Ability to work independently, interact with customers, and guide R&D teams.
- Excellent communication and presentation skills.
- Ability to drive innovative solutions for complex requirements and issues.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
- Applications will be accepted at least until February 7, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
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