Role at a glance
- Salary
- $224K – $431.3K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years of relevant experience.
- Education
- M.S./Ph.D. degree in CS/CE or equivalent experience.
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Role Summary
The Networking Software Architect will develop next-generation RDMA transport protocols and programmable networking frameworks for AI systems within NVIDIA’s networking software architecture team. The role supports distributed AI training and inference by advancing communication performance across GPUs and providing system-level architecture for deploying new protocols.
What You'll Do
- Research and propose novel transport mechanisms based on RDMA technology using simulations, experiments and proof-of-concept prototypes.
- Architect frameworks for NVIDIA’s programmable networking devices for novel protocols.
- Provide system-level architecture to guide NVIDIA’s customers in deploying and operating new protocols.
- Collaborate across NVIDIA to co-design the stack and exploit new transport mechanisms.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: Excellent C/C++ programming and debugging skills; research experience driving transport protocol innovations; deep understanding of RDMA; fundamentals of compute, network architecture and operating systems; strong experience with Linux; ability to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Required
- Excellent C/C++ programming and debugging skills
- Research experience driving transport protocol innovations
- Deep understanding of RDMA
- Fundamentals of compute, network architecture and operating systems
- Strong experience with Linux
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
Preferred
- Expertise in related technology and passion for networking
- Experience with AI communication patterns and parallelization techniques
- Strong collaborative and interpersonal skills
- Proven track record of effectively guiding and influencing within a dynamic and multi-functional environment
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA Networking has been a leader in high performance networking infrastructure for many years. The next unit of computing is the datacenter, and the network makes it all possible! We are growing our networking architecture team with people passionate about accelerated computing. We are looking for you - a Networking Software Architect, to develop the next generation of networking protocols for AI.
We are developing RDMA Transport protocols within the Networking software architecture team at NVIDIA. We build the underlying infrastructure under protocols such as RoCEv2, Multipath Reliable Connection (MRC) and NVIDIA Spectrum-X that form the basis for distributed AI training and inference. We're seeking a highly motivated, creative professional with networking protocols expertise along with experience in RDMA and its usage in large scale AI systems. Efficient and fast communication between GPUs directly impacts end-to-end AI application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?
What you'll be doing:
Research and propose novel transport mechanisms based on RDMA technology for AI systems using simulations, experiments and proof-of-concept prototypes.
Architect the frameworks for NVIDIA’s programmable networking devices for novel protocols.
Provide system-level architecture to guide NVIDIA’s customers to deploy and operate the new protocols.
Collaborate across NVIDIA to co-design the stack to exploit new transport mechanisms.
What we need to see:
M.S./Ph.D. degree in CS/CE or equivalent experience.
12+ years of relevant experience.
Excellent C/C++ programming and debugging skills.
Research experience driving transport protocol innovations.
Deep understanding of RDMA.
Proven fundamentals of compute, network architecture and operating systems.
Strong experience with Linux.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Expertise in related technology and passion for networking. Experience with AI communication patterns and parallelization techniques.
Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.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.