דרושים » תוכנה » Senior Software Architect, AI Networking

We are seeking a highly motivated Senior Deep Learning Researcher to join our team! This is an outstanding opportunity to conduct impactful research and develop the next generation of large language model (LLM) inference algorithms. You will work on technologies that directly enhance NVIDIA's software, making the latest LLMs more efficient and accessible for users worldwide. By joining us, you will be part of a strategic effort to establish NVIDIA as the definitive platform for high-performance LLM inference. You will engage with skilled problem-solvers at NVIDIA and top organizations, crafting AI technology advancements.

What you'll be doing:
Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.
Translate research into practical software solutions that directly impact NVIDIA's products and customers.
Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies.
Analyze the performance of new algorithms on NVIDIAs latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.
Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

We are seeking a highly motivated Senior Deep Learning Researcher to join our team! This is an outstanding opportunity to conduct impactful research and develop the next generation of large language model (LLM) inference algorithms. You will work on technologies that directly enhance our software, making the latest LLMs more efficient and accessible for users worldwide. By joining us, you will be part of a strategic effort to establish us as the definitive platform for high-performance LLM inference. You will engage with skilled problem-solvers and top organizations, crafting AI technology advancements.

What you'll be doing:
Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.
Translate research into practical software solutions that directly impact our products and customers.
Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies.
Analyze the performance of new algorithms on our latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.
Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

We are searching for world-class Scientist Engineers to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, Communications, AI and Distributed GPU computing, and working alongside top experts in these fields. With incredible resources in networking and compute, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture, LLM network traffic optimizations and AI collectives. With its unique open culture, We are one of the best industry labs to do Accelerated Computing research.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

Designing and implementing services, runtime systems, and applications over SDK.

Partner and collaborate with other forward-thinking team members and external researchers.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stackfrom applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward.

What youll be doing:

Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.

Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW.

Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

The 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, 5G NR 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 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:

Lead a team of 5 engineers in the advanced technologies development.

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with our partners and customers.

We are looking for a Software Manager for Ethernet Simulation to lead the development, verification of our Ethernet simulation environment. This environment plays a critical role in enabling large-scale system validation and early software development across networking, firmware, and driver domains - without reliance on physical hardware.

In this role, you will manage a team responsible for building scalable, high-performance simulation tools that model our advanced Ethernet and networking architectures. Youll combine deep technical expertise with strong leadership and cross-functional collaboration to drive innovation, accuracy, and reliability in the simulation ecosystem.


What Youll Be Doing:

Lead, mentor, and grow a team of software engineers developing our Ethernet simulation.

Define the technical roadmap for Ethernet simulation architecture, development and verification strategy.

Oversee the implementation and validation of complex Ethernet behaviors, protocols, and performance models in simulation.

Collaborate closely with hardware, firmware, and software teams to ensure simulation accuracy, scalability, and feature alignment with real silicon.

Balance hands-on technical guidance with strategic leadership performing design reviews, defining best practices, and ensuring delivery excellence.

Foster a culture of collaboration, technical curiosity, and continuous improvement within the simulation organization.

Were looking for an experienced Data Engineer to join our Networking Cluster Solutions (NCS) group and help shape the data backbone behind our advanced R&D telemetry and performance analytics ecosystem.

In this role, youll design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of real-time telemetry data from hardware, communication modules, firmware, and large-scale AI and HPC clusters.
Youll work in a cutting-edge environment that combines software, hardware, and data infrastructure driving the next generation of our cluster performance and monitoring technologies.

The NCS group builds and operates some of our Israels most advanced AI and HPC clusters, optimizing networking and compute performance at scale.

What youll be doing:

Define and execute the groups data technical roadmap, aligning with R&D, hardware, and DevOps teams.

Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying telemetry and performance data.

Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas.

Implement and maintain observability and data quality standards, including schema validation, lineage tracking, and metadata management.

Develop monitoring and alerting for pipeline health using Prometheus, Grafana, or Datadog.

Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and curated datasets.

Promote best practices in data modeling, code quality, security, and operational excellence across the organization.

Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage.

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware teamsomeone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.