NVIDIA razvija tehnologije pospešenega računalništva in umetne inteligence, ki se uporabljajo v igrah, podatkovnih centrih, računalništvu v oblaku, zdravstvu, proizvodnji, avtomobilski industriji in robotiki. Njeno delo obsega grafične procesne enote, platforme umetne inteligence, simulacije in rešitve za posamezne panoge, vključno z NVIDIA Omniverse za sodelovalne 3D-delovne tokove, NVIDIA DRIVE za razvoj avtonomnih vozil in NVIDIA Clara za zdravstvene aplikacije. Podjetje združuje velike tehnične ekipe, ki delajo na infrastrukturi in programski opremi za napredno računalništvo, simulacije in analitiko, ki jo poganja umetna inteligenca.
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.
Opis
- 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.
Zahteve
- 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.