Software Advanced Development Engineer

Required Software Advanced Development EngineerThe Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more.

We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.What youll be doing:Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmwareWork on impactful projects involving state-of-the-art high-performance computing hardware and softwareProvide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technologyCollaborate with NVIDIA partners and customersRequirements: B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field3+ overall years of industry experience in system programming or related fields.Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-timeExcellent programming skillsAbility to learn complex concepts in a fast pace environment.A teammate with a can-do attitude, high energy and excellent interpersonal skillsWays to stand out from a crowd:Familiarity with networking protocolsHands-on experience with CUDA programming and GPU accelerationHands-on experience with LLM serving frameworksExperience with open-source projects (coursework, personal, or contributions)Working in a fast-paced and dynamic environment.This position is open to all candidates.