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05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Senior Frontend Engineer to join our growing team and help shape the frontend platform behind our cybersecurity product. This is a hands-on role: youll own significant features end-to-end and drive the frontend infrastructure, architecture, and performance that let us scale.
Youll write production code daily, set the quality bar, and work closely with designers, product managers, and backend engineers to turn complex cybersecurity data into fast, elegant, and reliable interfaces.

WHAT YOU WILL DO
Collaborate with product, design, and backend teams to translate complex data into clear and actionable visual experiences.

Take part in architectural discussions and UI/UX decisions that shape the product

Develop & optimize our frontend infrastructure for handling large-scale data

Develop & optimize our frontend for supporting Product development at scale

Ensure high performance, observability, and stability on the frontend

Ensure a high-quality bar through code review, dev standards & strong testing disciplines

Stay up-to-date with modern frontend technologies and best practices.

Mentor other developers and contribute to a strong engineering culture.
Requirements:
Autonomous, responsible, and self-motivated.

Excellent communication skills and a collaborative mindset.

Strong knowledge of JavaScript, TypeScript, HTML5, and CSS3.

5+ years of professional software engineering experience, with a Frontend focus on building non-trivial production applications with React.

Proven experience on leading complex web apps at scale

Strong understanding of frontend architecture, state management, and API integration.

Familiarity with UI/UX principles and modern design systems.

Strong familiarity with browser API and tools (DevTools, DOM, network, debugging & profiling).

B.Sc. in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
This position is open to all candidates.
 
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05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference - from novel decoding strategies to quantization schemes - into production across our hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own.

What you'll be doing:

Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models.

Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices.

Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs.

Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment.

Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer.

Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide.
Requirements:
What we need to see:

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

5+ years of hands-on software engineering experience in performance-critical systems.

Solid understanding of deep learning architectures (Transformers, SSMs, MoE, ).

Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing.

Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted.

Effective communicator who works well across teams and time zones.

Experience optimizing deep learning workloads on our GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces.


Ways to stand out from the crowd:

Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar.

Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs.

Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration.

Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms.

Experience with performance modeling and simulation-to-silicon correlation.
This position is open to all candidates.
 
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05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role, you will have the opportunity to work with a small, but highly skilled and talented team. You will have the freedom to self-promote and take on additional responsibilities as you see fit. This is a great opportunity for someone who is looking to make a big impact in a dynamic and fast-paced environment.



Some key responsibilities for this position include:

Design, implement and maintain our production infrastructure, including our multi-cloud-based systems and servers
Develop and maintain our CI/CD pipelines to ensure smooth and efficient releases
Utilizing cloud technologies such as AWS and Kubernetes to deploy and scale Islands product
Building and maintaining monitoring tools to ensure the stability and security of our product
Collaborating with the team to identify and troubleshoot issues in the production environment
Requirements:
5+ years of experience as a DevOps Engineer, preferably in a startup environment
Experience working with AWS
Terraform hands-on experience
5+ years of production experience with Kubernetes including using open-source solutions from the ecosystem
Skills with at least one of these languages: Python/C#/Typescript/Go
Strong skills with a variety of monitoring and alerting tools
Service-oriented attitude, team player, fast self-learning individual and problem solver
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.
Requirements:
Required Qualifications
Bachelor's degree or equivalent military experience.
At least 5 years of experience in Linux system-level programming.
Extensive knowledge of Linux internals, or Linux 'under the hood'.
Very strong system-programming skills in C++.
Strong debugging skills with various tools on different Linux platforms.
Proven experience with multi-threaded application development.
Preferred Qualifications
Linux kernel programming experience.
Experience with containers, Docker, or Kubernetes.
Familiarity with multiple Linux distributions (e.g., RHEL, Ubuntu).
Experience with software security and/or Linux Security modules (e.g., SecureBoot, SELinux, AppArmor).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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04/08/2026
Location: Yokne`am
Job Type: Full Time
We are looking for a skilled Software Developer with strong hardware knowledge to join our team developing production test solutions for optical transceivers and networking products. Our team builds the software and test infrastructure used on production lines to validate our optical and interconnect products. The work combines instrument automation, low-level software development, and direct control of custom hardware. You will work with optical instruments such as power meters, variable optical attenuators, and laser sources, as well as custom test boards used to control and communicate with the device under test (DUT).

This is a hands-on, technically deep role that spans the entire development lifecycle-from hardware bring-up and debugging to validation, deployment, and production support. As a technical focal point, you will work at the intersection of hardware and software, collaborating with electrical, hardware, thermal, mechanical, and software engineers to deliver robust and scalable test solutions across multiple production lines and products.

What Youll Be Doing:

Design and develop production test systems for optical transceivers, networking hardware, and interconnect products.

Develop software that controls optical test instruments, custom test boards, and other hardware components.

Write low-level drivers and hardware-control software in C and C++, and integrate native code with higher-level C# applications through DLL wrappers.

Read and interpret electrical schematics, block diagrams, datasheets, timing requirements, and hardware specifications.

Lead hardware bring-up, validation, and deployment of test solutions in production environments.

Debug complex hardware-software integration issues using oscilloscopes, logic analyzers, software tools, and hardware communication interfaces such as I2C, SPI, and UART.

Investigate failures, identify root causes, and implement reliable corrective solutions.

Collaborate with cross-functional teams to translate hardware requirements into software interfaces and automated test procedures.

Take technical ownership of projects from initial concept and prototype development through production release and ongoing support.

Improve test coverage, system reliability, maintainability, and scalability across multiple products and production lines.
Requirements:
What We Need to See:

Bachelors or masters degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related field with significant hardware, electronics, or software experience.

4+ years of hands-on experience in software development, hardware-software integration, low-level driver development, firmware, or automated hardware testing.

Strong programming experience in one or more of Python, C#, C, or C++, with practical experience developing software that interfaces with hardware.

Experience reading and interpreting electrical schematics, block diagrams, hardware datasheets, and technical specifications.

Hands-on experience debugging hardware and software using laboratory instruments and software debugging tools.

Strong problem-solving skills and the ability to diagnose sophisticated hardware-software interaction issues.

Demonstrated technical ownership of projects, including development, integration, validation, and production deployment.

Excellent communication and collaboration skills, with the ability to work effectively across hardware and software teams.

Ways To Stand Out from the Crowd:

Experience with optical test equipment such as power meters, variable optical attenuators, laser sources, optical switches, or similar instruments.

Hands-on experience with PCIe, I2C, SPI, UART, Ethernet, or other hardware communication protocols.

Experience developing device drivers or hardware-interface software for Windows or Linux.

Experience wrapping native C/C++ libraries for use in managed .NET or C# applications.
This position is open to all candidates.
 
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04/08/2026
Location: Yokne`am
Job Type: Full Time
Our Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains.

What youll be doing:
Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality.
Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment.
Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones.
Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
Improve data quality, integrity, governance, metric definitions, and usability across engineering domains.
Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively.
Requirements:
What we need to see:
B.Sc or M.Sc in Computer Science, or related field, or equivalent experience.
12+ years of proven experience building and deploying production software, data products, internal tools, or engineering productivity platforms and 2+ years of experience building AI-enabled or agentic systems, including tools & skills, RAG pipelines, persistent memory, and evaluation infrastructure.
Hands-on development experience with Python, full-stack software development, SQL and NoSQL databases, cloud environments, and internal tool development.
Extensive experience utilizing coding agents for development.
A proactive, high-agency builder who deciphers complex domains to deliver pragmatic, production-grade AI and data solutions that drive measurable engineering productivity. An adaptable expert who masters the intersection of software engineering and agentic AI, taking full ownership of the lifecycle from messy data debugging to cross-functional leadership.
Excellent collaboration skills, with the ability to influence cross-functional partners, build positive relationships, and communicate complex concepts clearly to both technical and business audiences.
Demonstrated commitment to continuous learning and development.


Ways to stand out from the crowd:
Background in product engineering, hardware engineering, networking, semiconductors, or complex engineering organizations/
Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly motivated Architect to join the DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure.

What you'll be doing:
The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems.
Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture.
Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies.
Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible.
Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability.
Designing and optimizing deep networking solutions for container/k8s environments
Continuous evaluation of existing system and driving improvements across our platform and AI integration layers.
Requirements:
What we need to see:
8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models.
Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures.
Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services.
Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services.
Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads.
Deep understanding of advanced networking solutions and container/k8s networking.
Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs.
Bachelors degree.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating 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 be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.
Requirements:
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 hands-on experience as a software developer.
Strong proficiency in Python for test automation, tooling development, and pipeline implementation.
Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms).
Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale.
Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar) and practical ability to apply them to validation and test generation workflows.
Strong command of regression analysis methodologies - able to triage, classify, and extract actionable conclusions from large-scale test result datasets.
Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills.

Ways to stand out from the crowd:
Hands-on experience validating data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos topologies).
Familiarity with our networking products - BlueField DPUs, ConnectX NICs, Spectrum switches, or the DOCA software stack.
Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
Hands-on experience building agentic pipelines for automated test generation, result triage, or validation code synthesis - including prompt engineering and tool-use patterns for LLM agents.
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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04/08/2026
Location: Ra'anana
Job Type: Full Time
We are looking for a Distinguished Engineer to help shape the future of AI infrastructure. As part of our advanced development and research efforts, you will drive technical vision and innovation across the AI software stack, spanning GPU computing, RDMA, NVLink, storage, and large-scale distributed systems. You will research next-generation system designs, influence product and platform direction, and help define how massive-scale AI environments are built, optimized, and operated through hardware-software co-design.

What youll be doing:

Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure.

Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.

Work closely with multiple teams across us to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions.

Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency.

Guide the design of environments that support massive-scale AI training and inference workloads in production.
Requirements:
What we need to see:

M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.

20+ years of industry experience in systems design, distributed systems, system software, or related fields.

Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable.

Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management.

Experience building, scaling, and supporting environments for massive AI workloads.

Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability.

Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment.


Ways to stand out from the crowd:

Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design.

Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads.

Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8768266
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04/08/2026
Location: Yokne`am
Job Type: Full Time
We are hiring a Senior Software Engineer to join the NSV tools group. You will craft high-performing software automation systems used in NVIDIA's Data Center environments. This involves our AI cluster topology generation platform that composes, configures, and validates network infrastructure behind large-scale AI clusters. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, along with architects, network engineers, and developers. We support data growth for the worlds biggest companies. Our worldwide engineers work in a dynamic, meaningful, and fast-paced setting. Are you ready for the challenge?

What you'll be doing:

Build and develop a full-stack automation platform (Python microservices backend, modern web frontend) used to generate, configure, and validate network topologies for AI/HPC data centers.

Implement scalable, reliable, and maintainable services and APIs that turn complex infrastructure requirements into validated, exportable network configurations.

Build and refine intuitive web interfaces that guide users through an interactive, step-by-step topology development workflow.

Collaborate closely with internal and external collaborators to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the generation pipeline through architectural improvements and code optimizations.

Troubleshoot issues in distributed, containerized environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.
Requirements:
What we need to see:

B.Sc. in Computer Science, Engineering, or a related field, or equivalent experience in practice.

5+ years of strong hands-on software development experience, primarily in Python.

Proven experience designing and building microservices and RESTful APIs (e.g., FastAPI, Flask, or Django).

Full-stack ability: practical experience with a modern frontend framework (Angular, React, or comparable) and TypeScript.

Solid experience on Linux-based platforms.

Experience with relational databases and data modeling (e.g., PostgreSQL/SQL).

Practical experience with containers and cloud-native technologies (Docker, Kubernetes/OpenShift).

Experience with version control systems (Git) and CI/CD pipelines.

Independent, fast learner with a strong sense of ownership, excellent debugging and problem-solving skills, and effective communication abilities.


Ways to stand out from the crowd:

Experience with agentic AI / LLM application development - orchestration frameworks (e.g., LangGraph), RAG, and vector databases (e.g., Qdrant).

Familiarity with large-scale network architectures, switches/routers, and common data center / AI cluster network topologies.

Hands-on experience with GitOps or equivalent experience and OpenShift/Kubernetes deployments.

Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8768264
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04/08/2026
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, which would be used to train the most advanced AI models such as GPT and DeepSeek. 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 various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

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 behavior and the effect of distributed computing workloads effect on the network.

Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

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 from the crowd:

Good knowledge in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies.

Good knowledge in Python, C++.

Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8768260
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Location: Petah Tikva
Job Type: Full Time
We are seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.
Responsibilities:
* Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
* Define and execute the engineering strategy in alignment with business and product objectives.
* Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
* Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
* Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
* Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
* Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
* Stay ahead of emerging technologies and industry trends to ensure continuous innovation.
Requirements:
* 10+ years of software engineering experience, including significant leadership of large engineering organizations.
* Proven experience managing global engineering teams through engineering managers.
* Strong background in enterprise SaaS and modern cloud technologies.
* Demonstrated success driving AI adoption and modern engineering practices.
* Exceptional leadership, communication, and stakeholder management skills.
* Experience building and developing high-performing engineering organizations.
* Bachelors degree in Computer Science, Engineering, or a related field; advanced degree is an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8768255
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.


What you'll be doing:

Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project.

Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expose the simulation as a service to facilitate easier access for different stakeholders.

Enhance simulation runtime and memory consumption through creative optimization techniques.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.
Requirements:
What we need to see:

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

5+ years of relevant practical experience in software development, including significant work on a large-scale software system with strict performance considerations.

Proficiency in C++ and Python with knowledge of optimization techniques for improving system performance.

In-depth knowledge of computer science fundamentals, and computer architecture.

Excellent system perspective - you must be able to grasp the impact each layer on the system and the users.

Independent and motivated individual with strong communication skills.


Ways to stand out from the crowd:

Development experience in a large, multidisciplinary simulation environment with many collaborators and diverse technical challenges.

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

Knowledge of multi-core computation, code parallelization and relevant technologies (e.g. MPI).

Prior experience with cloud computing and parallelization of computational workloads.

Experience in developing CI/CD pipelines and integrating services.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8768251
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
What you'll be doing:
Develop, model, and validate groundbreaking power and performance optimization techniques for network fabrics, components (NICs, Switches), and systems. Collaborate closely with cross-functional teams including silicon design, system architects, software/firmware engineers, performance analysts, thermal engineers, and AI researchers to ensure end-to-end power and performance optimization. You will determine strategies that successfully implement flawless performance and power efficiency in our ambitious projects!
Requirements:
What we need to see:
BSc or MSc or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science or a related field
5+ years of relevant experience in network architecture, design, or performance analysis.
Solid understanding of power consumption dynamics in network hardware (NICs, switches, cables) and systems.
Proven experience in network architecture and design, particularly for large-scale systems (Data Center, HPC, AI Clusters).
Strong understanding of network protocols (Ethernet, InfiniBand, RoCE, TCP/IP) and their impact on performance and efficiency.
Demonstrable expertise in network performance analysis, bottleneck identification, and tuning.
Familiarity with the characteristics and network demands of AI/ML workloads
Utmost passion for attention to details in design and a high focus on design quality, particularly concerning power/performance trade-offs.

Ways to stand out from the crowd:
Advanced degree or equivalent experience in a related field.
Proven dedication to system-level power/performance trade-off analysis, especially in distributed computing or large-scale network environments.
Experience in power modeling, measurement techniques, or relevant tools for network components and systems.
Proficiency with network simulation tools (e.g., ns-3, OMNeT++, proprietary tools) or performance modeling frameworks.
Understanding of silicon-level power characteristics and optimization techniques.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8768238
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