
Software Engineer, NVLink – NVIDIA | Onsite in Raanana, Israel
NVIDIADevelop firmware verification and networking features for NVIDIA’s next-generation switches and GPUs. Use C++ and Python in an onsite role based in Tel Aviv/Ra’anana.


Develop firmware verification and networking features for NVIDIA’s next-generation switches and GPUs. Use C++ and Python in an onsite role based in Tel Aviv/Ra’anana.

Lead NVIDIA’s security certification and compliance programs across ISO 27001, SOC 2, NIST, and export controls. Improve audit operations, certification workflows, and cross-functional compliance processes.

Deploy and validate Linux-based AI and HPC infrastructure for NVIDIA customers. Lead large-scale compute projects across networking, automation, system design, and customer implementation.

Lead secure agentic AI initiatives for NVIDIA’s enterprise software partners, from initial architecture through production deployment. The role covers confidential computing, security controls, partner integrations, and scalable AI system design.

NVIDIA is hiring a senior system software engineer to build Rust and Python pipelines for GPU-accelerated agentic retrieval and LLM workflows. The role focuses on multimodal data systems, language-model tooling, and generative AI productivity products.

Lead NVIDIA’s worldwide virtual card payment program, covering supplier enablement, reconciliations, controls, bank integrations, and program growth across the Americas, EMEA, and APAC.

Build software, integrations, and AI-enabled workflows for NVIDIA’s in-house legal team. Automate legal intake, contract processes, intellectual property operations, and spend analytics.

Scale and optimize Kubernetes infrastructure for NVIDIA DGX Cloud and distributed AI workloads. Build performance testing, monitoring, analysis, and CI/CD systems for accelerated computing at scale.

NVIDIA is hiring a Germany-based remote Solutions Architect with diffusion-model expertise to help customers adopt efficient generative AI compute and software platforms.

Build and maintain CI/CD automation for NVIDIA’s automotive AI and embedded software. Work across build systems, Docker environments, testing, and release workflows.

Senior engineer building GPU-accelerated video streaming software for NVIDIA GeForce NOW cloud gaming, with a focus on codecs, video quality, reliability, AI processing, and latency.

Develop NVENC and NVDEC video algorithm components with C++ and Python. Optimize codec performance and help move research code into production SDK releases.

Guide enterprise adoption of NVIDIA vGPU and virtualization with VMware. Architect GPU-accelerated solutions and integrations for AI, compute, and data science workloads.

NVIDIA’ning maxsus IP bloklari va to‘liq chip dizaynini verifikatsiya hamda simulyatsiya orqali tekshirishni qo‘llab-quvvatlash. Tayvanda test namunalari ishlab chiqish va kremniyni ishga tushirish jarayoniga hissa qo‘shish.

Taypeydagi NVIDIA jamoasiga qo‘shilib, apparat vositalarini sinash uchun Python va C++ vositalarini ishlab chiquvchi VLSI CAD muhandisligi stajyori bo‘ling. ATPG va DFT avtomatlashtirish oqimlarini yarating hamda ofisdagi rolda kremniyni ishga tushirish ishlarini qo‘llab-quvvatlang.

Gurugramdagi NVIDIA yarimo‘tkazgichlar ta’minot zanjiri uchun SAP MM/PP asosiy ma’lumotlarini boshqarishga rahbarlik qiling. Korporativ ma’lumotlarni boshqarish doirasida PLM, ERP, rejalashtirish platformalari va avtomatlashtirilgan ish jarayonlarini bog‘lang.

NVIDIA’da ilg‘or GPU dizaynlari uchun SystemVerilog testbenchlari, qamrov rejalari va verifikatsiya infratuzilmasini yaratib, GPU xotirasini boshqarish bloklarini verifikatsiya qiling.

Punedagi NVIDIA GPU quvvatini boshqarish dasturiy ta'minotini ishlab chiqadigan katta tizim dasturiy ta'minoti muhandisi. Keyingi avlod protsessorlari uchun yadro, proshivka va platforma quvvat xususiyatlarini yaxshilaydi.

NVIDIA elektron loyihalashni avtomatlashtirish infratuzilmasi uchun ishonchli avtomatlashtirish va platforma xizmatlarini yarating. Rejalashtirish, monitoring, diagnostika va tiklash tizimlari orqali katta GPU va CPU hisoblash parklarini boshqaring.

NVIDIA kompaniyasining Xitoydagi CAE/CFD sanoat va tadqiqot hamjamiyatlari bilan GPU tezlashtirilgan hisoblash bo‘yicha hamkorligiga rahbarlik qiling. Ekotizim integratsiyalari, ishlab chiquvchilar dasturlari va texnik hamkorlik orqali Ilm-fan uchun AI texnologiyalarini joriy etishni rivojlantiring.