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looking for best-in-class physical design engineers to join our outstanding networking silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
what you'll be doing:
physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
be exposed and work on a variety of challenging designs (including high cell count and hs blocks). resolving complex timing and congestion problems.
daily work involves all aspects of physical design chip development (rtl2gds) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
taking part in flows development.

as a Senior Software Architect in the accelerated computing system and software team, you will define software defined networking (sdn) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, high performance computing (hpc), networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai and hpc networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
work closely with various groups within our company to bring ai and hpc network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

looking for an hpc and ai data center engineer to join the networking cloud solutions hpc/ai infrastructure team. we are focused on building supercomputers and hpc clusters based on groundbreaking technologies. we are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and gpu computing. take part of building large-scale compute and deep learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
what you will be doing:
plan and build complex cluster and supercomputers in various of data center and labs
rack stack and cable management to ensure efficient use of space and easy maintenance
ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
data centers and labs daily operation and support
installations for variety of infrastructure and solutions - cloud, vms, Storage, network, hpc and ai
perform troubleshooting - network, optic cabling, bare metal, operating system.
support research & development activities

our company is seeking a sharp, innovative, and hands-on architect to help shape the future of llm inference at scale. join our dynamic e2e architecture group, where we build cutting-edge systems powering the next generation of generative ai workloads. in this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most advanced gpu clusters in the world.
youll help define how ai models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system -level optimizations. this is an opportunity to work with top engineers, researchers, and partners across our company and leave a mark on the way generative ai reaches real-world applications.
 
what youll be doing:
design and evolve scalable architectures for multi-node llm inference across gpu clusters.
develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.
collaborate with model, systems, compiler, and networking teams to ensure holistic, high-performance solutions.
prototype novel approaches to kv cache handling, tensor/pipeline parallel execution, and dynamic batching.
evaluate and integrate new software and hardware technologies relevant to model inference (e.g., memory hierarchy, network topology, modern inference architectures).
work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.
author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

join our growing software architecture research team. the ideal candidate will be conducting cutting-edge research at the intersection of networking, security, and communications, and working alongside top experts in these fields. with incredible resources in networking, 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. with its unique open culture, nvidia is one of the best industry labs to do accelerated computing research.
 
what youll be doing:
develop novel hw architecture models
simulations ranging from specific components to complete data center environments
develop sdks for novel hw capabilities
designing and implementing services, runtime systems, and applications over sdk
evaluate and optimize application performance
partner and collaborate with other forward-thinking team members and external researchers
participate and speak at conferences and events
work with intelligent networking machines powered by ai systems that can learn, reason and interact with other network components

as a senior architect in the advanced development team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads. you will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed ai and deep learning solutions, data analytics, high performance computing (hpc), software defined networking (sdn), virtualization, Storage, and more.
what youll be doing:
enhance gpu networking offerings for accelerating ai workloads, such as dynamo or nvidia nixl.
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of such technologies.
lead proof-of-concept development to evaluate and drive such technologies.

we are now looking for a senior verification technical lead for our fc switch silicon team. as a fullchip verification technical lead engineer  networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art switch silicon chips. in this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
what you'll be doing:
work in a fc verification team within the switch silicon.
dynamic verification environments planning for units infrastructures and system level
work closely with multiple teams within organizations such as architecture, u-arch, full chip micro-architecture, be, and fw
responsible to drive the fullchip verification execution, including staging plan of the projects and deliveries

we are looking for an expert data engineer to build and evolve the data backbone for our r&d telemetry and performance analytics ecosystem. responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. youll be part of a fast paced r&d organization, where system behavior, schemas, and requirements evolve constantly. your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.
what youll be doing:
build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
develop and maintain ETL /elt workflows for refining, enriching, and classifying raw data into analytics-ready form
collaborate with r&d, hardware, DevOps, ml engineers, data scientists and performance analysts to ensure accurate data collection from Embedded systems, firmware, and performance tools
automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
enable self-service analytics by providing curated datasets, apis, and databricks notebooks

we are seeking a highly motivated system Software manager to lead a team driving the development of next-generation communication software and products, building on our industry-leading nvlink and nvswitch technologies. this role combines technical leadership with hands-on development activities, driving innovation at the core ofdata center ecosystem.
what you will be doing:
lead, mentor, and grow your engineering team while overseeing project planning, execution, and ensuring the quality and performance of all deliverables.
own major features and drive the teams roadmap that aligns with ambitious goals and dynamic customer requirements.
grow the local team while collaborating with a wide range of cross-business unit teams both on-site and locally.
continuously evaluate and identify opportunities to improve processes, infrastructure, and practices to ensure efficient, transparent, and high-quality team execution.
this is a technical leadership role, with active involvement in feature design and implementation.

as a senior software engineer in the gpu networking architecture team, youll lead advanced development and poc efforts for ai infrastructure solutions. you'll be collaborating with experts across distributed ai, deep learning, networking os, virtualization, Storage, and more. come and join us for the cutting edge in gpu networking!
what youll be doing:
drive advanced development and pocs for ai infrastructure solutions in cutting-edge ai networks, integrating innovative software and hardware.
demonstrate team architectural concepts with larger nvidia ai software stacks.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront 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, such as car and pharmaceutical. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research of various solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
developing models for simulations and performance testing, analysing the results and development of future hw and sw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

our company is looking for an excellent senior sdk engineer to join the infiniband switch and nvlink fw/sdk group in tel-aviv / raanana. as a senior engineer you will be taking part in designing, implementing and leading major development sdk features, delivering the next-generation networking products. the sdk team develops cutting-edge networking features for cloud, hpc and Storage. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what you will be doing:
collaborate with architecture and different software/fw design teams as part of the software development lifecycle.
design and implement new features in the core of our switch sdk.
work in pre and post-silicon development environments of next-generation our networking products.
gain a deep understanding of system debugging, networking technology, and stacks, as well as the fw/sw relationship.
innovate! bring our sdk switching products to shine in customers view.

our company is seeking a dedicated and hardworking Senior Software Architect to join our sw architecture group. the position involves researching new technologies with a focus on defining groundbreaking security architectures, from ideation to productization. your role will be essential in researching and developing new methods to secure data centers and ai clouds with our dpu and nic technologies.
our architecture group is comprised of world-class architects who are crafting innovative architectures for our dpus & nics technologies. you will collaborate with global teams, including sw architects, r&d, product, solution architects, and external customers. this position presents an outstanding opportunity to make a great impact in a multifaceted, technology-focused company that is defining the future of ai technologies and data centers.
what you will be doing:
evaluating new technologies, innovating, and rapidly developing prototypes that can be further developed into full-fledged products/solutions.
working across teams to transform ideas into released products.
helping craft brand-new innovations securing ai.
collaborating with high-profile customers on sophisticated and groundbreaking technologies and solutions.
providing fast and creative solutions for complex problems.

we are now looking for a chip design engineer to join our switch silicon team for verification / design roles. as a chip design engineer at our networking business unit, you'll join a group of passionate engineers to design, implement and verify the next generation state-of-the-art switch silicon chips. in this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
what you'll be doing:
work in a combined design and verification team which develops some of the switch silicon core units.
micro-architecture for rtl and simulation environment planning for units and modules.
design/verify rtl units/blocks according to arch. specifications under challenging constraints with high orientation to power, area, and performance.
build reference models, verify, and simulate chip blocks/entities according to specifications.
rtl synthesis, timing, supporting verification, and silicon post to activities.
work closely with multiple teams within organizations such as architecture, full chip micro-architecture, be, and fw.

were currently seeking a senior Developer technology engineer, artificial intelligence. would you enjoy researching parallel algorithms to accelerate ai workloads on advanced computer architectures? do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like nvidia? if so, the Developer technology team invites you to consider this role. 
what you will be doing:
in this position, you will research and develop techniques to gpu accelerate workloads in deep learning, Machine Learning or other ai domains.
work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex ai and hpc algorithms to ensure optimal ai solutions on modern cpu and gpu architectures.
publish and/or present discovered optimization techniques in Developer blogs or relevant conferences to engage and educate the Developer community.
influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at nvidia.