Our Network Codesign & Benchmarking R&D Group is looking to hire a skilled senior engineer interested in researching and developing solutions for the most pressing networking challenges of the world's fastest AI and HPC supercomputers. As a member of our team, you will be responsible for investigating, crafting, and implementing new protocols and algorithms that enable the best performance possible on NVIDIA networked supercomputers. This role offers you an excellent opportunity to deliver production-grade solutions, get hands-on with ground-breaking technology, and work closely with top technical leaders in shaping and innovating next-generation networking technologies.
What you'll be doing:
The team is responsible for developing high-performance communication frameworks running in the production of the largest AI clusters. The work environment is dynamic and adventurous; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. In addition, our team works closely with networking chip design teams in co-designing new hardware features and software APIs.
What we need to see:
B.Sc., M.Sc. or Ph.D. in computer science or software engineering
5+ years of relevant experience
Programming experience and proficiency in Python, System C/C++ development skills and familiar with Linux developing environment.
Experience in performance optimizations
Demonstrated use of creative ideas, providing solutions to challenging problems.
Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.
Ways to stand out from the crowd:
Deep knowledge of Networking Protocols InfiniBand, Ethernet
Knowledge in MPI and High-performance computing
Background in RDMA technology
Experience in kernel programming & in working with AI Models, Pytorch or equivalent
Open Source Software Contributor as well as an expert in computer architecture and operating systems
We are at the beginning of the next era, the AI computing era, ignited by GPU deep learning, which has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is driving these efforts worldwide. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.
We are committed to encouraging a diverse work environment and are 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
