NVIDIA o‘yinlar, ma’lumotlar markazlari, bulutli hisoblash, sog‘liqni saqlash, ishlab chiqarish, avtomobilsozlik va robototexnika sohalarida qo‘llaniladigan tezlashtirilgan hisoblash hamda sun’iy intellekt texnologiyalarini ishlab chiqadi. Kompaniyaning faoliyati grafik protsessorlar, sun’iy intellekt platformalari, simulyatsiya va muayyan sohalarga mo‘ljallangan yechimlarni qamrab oladi. Bular qatoriga hamkorlikdagi 3D ish jarayonlari uchun NVIDIA Omniverse, avtonom transport vositalarini ishlab chiqish uchun NVIDIA DRIVE va sog‘liqni saqlash ilovalari uchun NVIDIA Clara kiradi. Kompaniya ilg‘or hisoblash, simulyatsiya va sun’iy intellekt asosidagi tahlilni qo‘llab-quvvatlaydigan infratuzilma hamda dasturiy ta’minot ustida ishlaydigan yirik texnik jamoalarni birlashtiradi.
Senior RDMA Research Architect at NVIDIA – Tel Aviv Onsite
Lead research into RDMA transport, algorithms, and NIC architecture for NVIDIA’s next-generation AI networking systems in Israel. Apply modeling, simulation, and experimentation to turn networking insights into measurable system-level improvements and product proposals.
Tavsif
- Research and analyze innovative concepts for NVIDIA’s RDMA NIC and Transport Research group
- Build advanced expertise in NVIDIA’s RDMA and transport architecture
- Assess architectural gaps, research opportunities, and sources of competitive advantage
- Develop research hypotheses and validate them through modeling, simulation, and experimentation
- Convert research findings into product proposals
- Work with architects and researchers advancing NVIDIA networking technologies
- Trace performance challenges from application-level bottlenecks through transport and algorithm design to NIC microarchitecture
- Verify that proposed solutions provide measurable value at the system level
Talablar
- Bachelor’s or master’s degree in electrical engineering, computer science, or computer engineering
- At least four years of relevant professional experience
- Evidence of working across disciplines and delivering verifiable improvements at the system level
- Experience balancing engineering trade-offs between product research and time to market
- Programming and debugging experience in a production-scale software environment
- Strong interpersonal and communication skills, including the ability to explain complex technical findings to both specialists and broader audiences
- Advanced knowledge in one or more networking areas, including RDMA transport protocols, congestion control, multipath or load-balancing algorithms, NIC microarchitecture, collective communication and NCCL, rank placement, network topology, or communication for AI training and inference
- PhD or equivalent engineering experience, or a demonstrated record of substantial research contributions
Imtiyozlar
- NVIDIA is an equal opportunity employer
- Reasonable accommodations are available for individuals with disabilities throughout the application and employment process