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23/06/2026
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04/08/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.

What Youll Be Doing:

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

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.
Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.


Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.
This position is open to all candidates.
 
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06/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven hands-on Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network topologies, configurations, logic and traffic patterns, and analyzing their effect on end-to-end performance. You will develop expertise in our simulation tools and write code daily to contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.



What you'll be doing:

Analyze and model our AI and High Performance Computing offerings, deep dive into network behavior for training and inference and generate insights to directly impact the architecture of next-generation of AI systems. Conduct advanced network modeling, research and optimization using innovative simulation tools.

Write production-quality C++ and Python code daily. Hands-on modeling of advanced network topologies, configurations and traffic patterns representing real life AI workloads, and analyze their effect on the system's performance. Actively develop the simulator software solution while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.
Requirements:
What we need to see:

BSc or above in Computer Science, Electrical Engineering, or a related field

5+ years of recent hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase.

End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput).

Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision.


Ways to stand out from the crowd:

Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols.

Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators).

 Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems.
This position is open to all candidates.
 
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09/08/2026
Job Type: Full Time
We are looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of our datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments.

What Youll Be Doing:

Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.

Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.

Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.

Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.

Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.

Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.

Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.

Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.
Requirements:
What We Need To See:

B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.

9+ years of experience in networking, system software, embedded software, firmware, or datacenter infrastructure.

Proven experience in software architecture, or technical leadership roles.

Deep understanding of networking concepts and protocols such as Ethernet, TCP/IP, RDMA/RoCE, congestion control, QoS, virtualization overlays, and traffic management.

Strong background with DPUs, SmartNICs, or other high-performance networking devices.

Experience with system management, provisioning, monitoring, telemetry, diagnostics, or lifecycle-management flows.

Familiarity with management protocols and frameworks such as Redfish, PLDM, MCTP, IPMI, gNMI, SNMP, Netconf, REST, or gRPC-based APIs.

Ability to lead cross-functional architecture discussions across software, firmware, hardware, validation, product, and customer-facing teams.

Excellent written and verbal communication skills, including the ability to create clear architecture documents and present trade-offs.


Ways To Stand Out From The Crowd:

Experience defining software architecture for DPU products, including management, telemetry, QoS, performance, security, virtualization, or offload features.

Hands-on background with Linux networking, device drivers, firmware, embedded Linux, BMC software, DOCA, DPDK, OVS or Kubernetes networking.

Experience with performance counters, profiling tools, eBPF, Prometheus, Grafana, dashboards, heat maps, or large-scale telemetry systems.

Experience in defining and developing GAI-based analysis tools to extract insights from telemetry data and streams.

Background in RAS, diagnosability, serviceability, field failure analysis, production debug, or customer escalation handling.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Job Type: Full Time
We are seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery-shaping the future of AI networking and infrastructure.

What you will be doing:
Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
Act as a thought leader and industry influencer-engaging directly with customers, publishing technical content, and representing us at key conferences and forums.
Define and execute a bold architectural vision for our networking in close collaboration with cross-functional software and hardware leaders.
Requirements:
What we need to see:
M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
12+ years of deep experience in software architecture, systems design, and applied research.
8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments.
Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems.
Hands-on experience with networking protocols (e.g., TCP/IP, RDMA, RoCE, InfiniBand) and data center networking architectures.
Deep familiarity with AI DC architectures, hardware acceleration technologies, and SDKs (e.g., DOCA, CUDA or similar).
Experience with AI data center design, including compute, networking, and AI storage systems.
Exceptional communication and influence skills, with a demonstrated ability to align stakeholders and drive decisions across complex organizations.

Ways to stand out from the crowd:
A track record of aggressively prototyping, validating, and scaling new ideas into production.
Strong foundations in system software, including operating systems and low-level architecture.
Experience with hyperscale cloud and AI data center environments.
Expertise in AI storage systems, high-performance computing (HPC), and end-to-end accelerated infrastructure.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance.

If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Analyze and model our AI and High Performance Computing offerings, deep dive into network behavior for training and inference and generate insights to directly impact the architecture of next-generations of AI systems. Conduct advanced network modeling, research and optimization using innovative simulation tools.

Implement modeling of advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Actively develop the simulator software solution while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.
Requirements:
What we need to see:

BSc or above in Computer Science, Electrical Engineering, or a related field

5+ years of hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase.

End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput).

Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision.


Ways to stand out from the crowd:

Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols.

Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators).

Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Network Solution Verification Manager to join our R&D organization, leading the validation of our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure our networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.


What you'll be doing:
Leading and managing a team of network validation engineers responsible for end-to-end validation of our customer-facing networking solutions at scale, using a dedicated E2E simulation cluster environment.
Defining the overall validation strategy and roadmap - establishing simulation methodologies, test coverage frameworks, and quality gates that align with product milestones and customer use cases.
Pioneering the use of agentic AI flows within the validation organization - leading the team to design, build, and operate AI-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new test cases, and implementing validation code. These agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale test coverage and respond to emerging quality signals without manual intervention.
Overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes.
Establishing a rigorous regression analysis culture - guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders.
Serving as the primary validation partner to Design, Architecture, and NCS teams - translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
Analyzing customer-reported networking solution issues, driving test gap analysis, and ensuring robust regression coverage that prevents recurrence.
Staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities.
דרישות:
What we need to see:
B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
3+ years of experience in a leadership or management role, leading software or hardware validation/test engineering teams.
7+ years of overall experience in network validation, network testing, or systems verification.
Proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on background in Python-based automation.
Strong understanding of regression analysis methodologies - ability to drive actionable conclusions from large-scale test result datasets and translate them into engineering improvements.
Demonstrated ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-timezone environment.
Strong verbal and written communication skills, with experience presenting validation strategies and quality metrics to senior leadership.


Ways to stand out from the crowd:
Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
Experience with network simulation or emulation environments (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms) and the ability to guide teams in leveraging them effectively.
Experience managing validation of data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos top#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of our networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

What Youll Be Doing:

Work with architects and engineers to define software architecture for our networking devices, SmartNICs, and DPUs.

Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.

Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.

Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.

Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.
Requirements:
What We Need To See:

Engineer holding a B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

1+ years of relevant experience

Proven strong programming skills, in C/C++, preferably for large and complex embedded systems.

Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals.

Curiosity and ability to learn new technologies quickly, investigate deeply, and work through ambiguous problems.

Independent problem solver who also works well in a team environment.

Clear written and verbal communication skills.


Ways To Stand Out From The Crowd:

Knowledge of networking protocols such as Ethernet, InfiniBand, RDMA, RoCE, TCP/IP, or congestion control.

Experience with Linux, Linux kernel, device drivers, embedded systems, or system software.

Experience building simulations, performance models, prototypes, or proof-of-concept software.

Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA.

Open-source contribution, previous internship experience, or hands-on project work in relevant technical domains.
This position is open to all candidates.
 
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05/08/2026
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.

What youll be doing:

Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters.

Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE).

Identify performance bottlenecks across networking, compute, memory, and system architecture.

Develop and enhance performance analysis, benchmarking, and diagnostic tools.

Define performance test plans and establish expectations for new technologies and platforms.

Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights.

Support telemetry collection and data refinement efforts to enable accurate performance analysis.

Maintain high standards for data quality, reproducibility, and traceability of performance results.
Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience.

5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure.

Demonstrated expertise in performance analysis skills and methodologies.

Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control).

Strong understanding of system performance metrics (latency, throughput, resource utilization).

Exposure to hardware, firmware, or embedded telemetry environments.

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in cross-functional, fast-paced R&D teams.


Ways to stand out from the crowd:

Knowledge of CUDA, NCCL internals, and congestion control algorithms.

Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe.

Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.

Experience with cloud platforms.

Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments.
This position is open to all candidates.
 
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09/08/2026
Location: More than one
Job Type: Full Time
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, 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.
Requirements:
What we need to see:

B.Sc, M.Sc, or Ph. D degree in Computer Science, Computer Engineer, or Electrical Engineer.

At least 5 years of industry or research experience in computer networks.

Excellent understanding of large-scale networks behaviour and the effect of distributed computing workloads effect on the network.

Experience in development of simulation environments.

Possess strong managerial, problem solving and critical thinking skills.

Ability to work and operate in a highly dynamic environment.

Partner with multiple groups in the organization.


Ways to stand out of the crowd:

Strong understanding in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies.

Good knowledge in Python, C++.

Good knowledge with AI models.

Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments.
This position is open to all candidates.
 
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05/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.
Requirements:
What we need to see:

BSc/MSc in Electrical Engineering, Computer Science from a known university.

Experience in developing simulation models.

4+ years of experience in a relevant role as chip architecture or system integration

Knowledge and understanding of computing and networking systems.

Strong debug skills.

A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.

Utmost passion for attention to details in design and a high focus on design quality.


Ways to stand out from the crowd:

Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking.

We are widely considered to be one of the tech worlds most desirable employers.

Master's degree in Electrical Engineering, Computer Science or related technical field.

5+ years of relevant practical experience.

Experience with network simulation tools (omnet, ns3, sst, gem5).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8770026
סגור
שירות זה פתוח ללקוחות VIP בלבד