NVIDIA izstrādā paātrinātās skaitļošanas un mākslīgā intelekta tehnoloģijas, ko izmanto spēļu, datu centru, mākoņdatošanas, veselības aprūpes, ražošanas, autobūves un robotikas jomās. Uzņēmuma darbība aptver grafikas procesorus, mākslīgā intelekta platformas, simulāciju un nozarei paredzētus risinājumus, tostarp NVIDIA Omniverse sadarbības 3D darbplūsmām, NVIDIA DRIVE autonomo transportlīdzekļu izstrādei un NVIDIA Clara veselības aprūpes lietojumprogrammām. Uzņēmums apvieno lielas tehniskās komandas, kas strādā pie infrastruktūras un programmatūras, kura nodrošina progresīvu skaitļošanu, simulāciju un mākslīgā intelekta vadītu analītiku.
Software Architect, AI Networking at NVIDIA
Design C/C++ infrastructure and RDMA protocols for NVIDIA’s AI networking platforms. Evaluate performance and collaborate with engineering teams across Israel to advance networking systems.
Apraksts
- Develop and maintain C/C++ infrastructure, embedded components, and runtime environments for programmable RDMA protocols in the East/West AI networking stack.
- Create proof-of-concept implementations, run experiments, and use quantitative models to assess performance and guide networking improvements.
- Work with hardware, firmware, architecture, compiler, and SDK teams to advance cross-stack designs and integrate scalable networking solutions.
- Document technical designs, test outcomes, and specifications for a globally distributed engineering team.
Prasības
- Bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, or equivalent experience.
- 0–5 years of experience in low-level software development, networking, or systems programming.
- Strong command of C and/or C++.
- Proven ability to debug system-level issues.
- Knowledge or coursework in computer architecture, operating systems, and networking protocols such as TCP/IP, RDMA, or InfiniBand.
- Clear technical communication skills for documentation and collaboration with global engineering teams.
- Curiosity, strong problem-solving skills, and an eagerness to keep learning and build technical expertise.
- Hands-on work or academic projects involving RDMA, InfiniBand, SmartNICs, or packet processing are an advantage.
- Familiarity with RISC-V execution environments, RTOS, board bring-up, or driver development is an advantage.
- Practical experience in Linux kernel development, network simulation tools, or performance profiling is an advantage.