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13/01/2026
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08/02/2026
Location: Yokne`am
Job Type: Full Time
We are seeking a creative and talented Software Engineer to join our team. In this role, you will be responsible for developing next-generation AI-based tools to revolutionize the efficiency and productivity of our R&D processes.

You will join a team dedicated to solving complex engineering challenges by integrating intelligent solutions into our workflow. You will collaborate with internal AI initiatives, leverage our cutting-edge internal AI infrastructure, and utilize both internal and external models to build the engineering ecosystem of the future. If you are a developer with a strong Computer Science foundation and a deep passion for Generative AI and Large Language Models (LLMs), we encourage you to apply.

What you will be doing:

Design and develop AI-powered software tools and automation aimed at dramatically improving engineering productivity.

Implement advanced AI workflows, such as Retrieval-Augmented Generation (RAG) and intelligent assistants, to solve real-world development problems.

Collaborate with cross-functional teams and internal AI initiatives to identify bottlenecks and translate them into scalable solutions.

Work hands-on with internal and external AI models (LLMs), orchestrating them to deliver high-quality, reliable outputs.

Stay up-to-date with the rapidly evolving landscape of AI to continuously optimize our tools and methodologies.
Requirements:
What we need to see:

B.Sc. in Computer Science, Software Engineering, or a related field.

3+ years of experience in software development with strong proficiency in Python.

Proven experience with AI application frameworks (e.g., LangChain) and vector databases.

Solid understanding of Generative AI concepts, including RAG, Embeddings, and Prompt Engineering.

Strong problem-solving skills and the ability to work effectively in a collaborative environment.

We are a multi-language team, thus your outstanding verbal English skills are important.

Ways to stand out from the crowd:

Experience building autonomous agents or complex reasoning chains.

Experience taking LLM-based solutions from proof-of-concept to production.

Experience with API integration and developing backend services (e.g., Flask, FastAPI).

Background in DevOps practices, CI/CD pipelines, or Linux environments.
This position is open to all candidates.
 
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05/02/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone 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.
Requirements:
What We Need to See:
A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

A strong foundation in computer architecture, operating systems, and object-oriented programming.

Proficiency in scripting languages like Python to automate tasks and workflows.

An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:
Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

Previous experience in a customer-facing or application engineering role.

Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

Extensive knowledge of networking protocols and the Linux operating system.
This position is open to all candidates.
 
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11/02/2026
Location: Yokne`am
Job Type: Full Time
We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.
Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.
This position is open to all candidates.
 
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08/02/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.

What Youll Be Doing:

Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.

Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.

Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.

Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.

Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.

Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.
Requirements:
What We Need To See:

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

5+ years of relevant industry or research experience in high-performance computing, computer architecture, or computer networks.

Hands-on programming skills in Python and/or C/C++ for system analysis, automation, and customizing benchmarks.

Excellent understanding of large-scale system behavior and the effect of distributed computing workloads on network and system performance.

Proven experience in performance analysis, benchmarking, and identifying system bottlenecks.

Exceptional analytical, problem-solving, and systems-thinking skills, with the ability to dive deep into complex software and hardware interactions.

Ability to thrive in a a fast-paced, dynamic environment and work concurrently with multiple cross-functional teams.

Ways To Stand Out From The Crowd:

Deep understanding of and hands-on experience with communication libraries such as NCCL, UCX, or MPI.

Direct experience debugging or modifying the source code of a major communication library.

Expertise in the architecture and system-level requirements of large-scale, distributed Deep Learning workloads (e.g., LLMs).

Expertise in high-performance network protocols (Ethernet, InfiniBand, RoCE) and interconnect technologies like NVLink.

Familiarity with the PyTorch ecosystem, especially for distributed workloads.
This position is open to all candidates.
 
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08/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs.

This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.

What Youll Be Doing:
Develop and maintain simulation components for the physical layer of our high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.
Requirements:
What We Need To See:
Bachelor's Degree or equivalent experience in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering.
5+ years of experience in Python programming, with strong object-oriented design skills.
Experience with C and/or C++, especially in systems or performance-sensitive environments.
Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...).
Solid understanding of Linux, containerized environments (e.g., Docker), and command-line tools.
Familiarity with Inter-Process Communication (IPC) mechanisms (sockets, message queues, shared memory...).
Ability to communicate complex technical ideas in simple terms.
Well-organized, proactive and capable of leading your own tasks.
Collaborative personality with a love for teamwork.

Ways to Stand Out from the Crowd:
Experience building complex simulation or emulation systems, especially those simulating hardware behaviors.
Experience with multi-platform systems spanning HW, FW, and SW.
Experience with low-level networking protocols and applications.
Knowledge of physical layer concepts.
Experience contributing to CI/CD systems and tooling (e.g., Git, Jenkins, Gerrit).
This position is open to all candidates.
 
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05/02/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are now seeking a highly motivated Lead Infrastructure & Simulation Technology expert to spearhead the evaluation and deployment of cutting-edge tools and infrastructure for our NIC architecture performance modeling team.

What you'll be doing:

Hands-on infrastructure development and maintenance using cutting-edge technologies.

Identify, evaluate, and integrate AI/ML tools specifically for hardware simulation workflows. Architect and manage the underlying infrastructure to support internal Large Language Model (LLM) projects.

Optimize SW Development Life Cycle (SDLC) & deployment: Architect and implement advanced Git branching strategies, robust CI/CD pipelines, and Docker containerization to streamline the software development lifecycle and accelerate deployment of simulation tools.

Architect scalable simulation automation: design and implement orchestration frameworks for executing large-scale hardware simulations efficiently and reliably.
Requirements:
What we need to see:

BSc or equivalent experience in computer science, electrical engineering, or a related field.

3+ years of experience in a relevant role, focusing on infrastructure, DevOps, or simulation technologies.

Proven experience in evaluating and integrating new technologies, particularly in the AI/ML space.

Ways to stand out from the crowd:

Experience managing infrastructure for AI/ML workloads, including LLM projects.

Hands-on experience with HW architecture performance simulations tools (systemc, gem5) and workflows.

Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
This position is open to all candidates.
 
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08/02/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a dynamic and highly motivated Senior Software Manager to lead our software verification and automation for DOCA Networking SDK. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by us and developed by our customers, empowering the most advanced data centers in the world. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.

What you'll be doing:

Lead teams of software verification engineers, providing technical direction, career development, and performance mentorship.

Define and continuously refine our software testing methodology and processes.

Engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team.

Lead the verification process, ensuring the functionality, stability, and performance of our DOCA networking SDK and the solutions on top of it.

Work closely with internal and external customers to understand system use cases.

Analyze coverage measures to identify verification gaps and provide data-driven insights into product development and release readiness.
Requirements:
What we need to see:

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

10+ years of overall professional experience and 4+ years of experience managing managers or senior engineers.

Proficient in Python, C, C++ with the technical depth to guide and mentor the team.

Experience with regression systems and their optimizations.

Experience with Networking Protocols, mainly Ethernet.

Experience with virtualization technologies.

Strong analytical, debugging, and problem-solving skills with meticulous attention to detail.

Experience with embedded SW development.

Excellent interpersonal skills and the ability to multitask in a dynamic environment with shifting priorities.

Self-motivated and well-organized.

Ways to stand out from the crowd:

Advanced understanding in ethernet protocols and RDMA.

Experience with Cloud and AI workload optimization.

Proficiency in Continuous Integration (CI) methodologies and tools such as Gerrit, Jenkins, and GitLab.

Experienced in test generation and coverage methods and metrics.

Background in Linux Kernel, security protocols.
This position is open to all candidates.
 
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11/02/2026
Location: Yokne`am
Job Type: Full Time
Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.
Requirements:
What we need to see:

Bachelors Degree in EE, CS or CE or equivalent work experience.

5+ years of experience in software testing or software engineering.

Strong programming skills in C/C++.

Solid experience with Linux-based environments, including system tools and command-line utilities.

Methodical troubleshooting skills in Linux environments with a disciplined approach to evidence-based failure analysis.

Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.

Excellent communications skills, self-motivated and well organized.

Knowledge in operating systems and specifically with Linux.

Ways to stand out from the crowd:

Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.

Python or other scripting languages (such as Shell)-advantage.

Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.).

Knowledge of NVIDIA DPU products.
This position is open to all candidates.
 
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10/02/2026
Location: Yokne`am
Job Type: Full Time
We are looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for our IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.

What youll be doing:
Design, develop, and execute manual and automated tests as part of software stack releases.
Define, build, and manage testbed topologies for functional, regression, and performance validation.
Analyze architectural designs and feature requirements for new networking capabilities.
Debug failures, identify root causes, and verify fixes delivered by development teams.
Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.
Collaborate with cross-functional global teams including R&D, product marketing, and system verification.
Requirements:
What we need to see:
B.Sc./ M.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field.
2+ years of hands-on experience in QA, preferably with a focus on networking.
Strong understanding of software testing methodologies, test planning, and bug lifecycle.
Proficiency in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms.
Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs).
Strong analytical and debugging skills with an eye for detail.
Excellent communication skills, both written and verbal.

Ways to stand out from the crowd:
Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals.
Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows).
In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies.
Exposure to QA methodologies, release management, and end-to-end test lifecycle.
Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.
This position is open to all candidates.
 
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08/02/2026
Location: Yokne`am
Job Type: Full Time
Our IT Business Intelligence team is seeking a Senior Staff BI Analyst to join our team. We are in search of an individual with exceptional analytical skills and a profound understanding of information systems architecture. If you are highly motivated and seeking a place to make a significant impact with your career, we encourage you to explore this opportunity.


What you'll be doing:

Leading the architectural design of complex, scalable data solutions for enterprise-level environments

Evaluating and implementing advanced technologies to drive innovation and enhance organizational analytical capabilities

Developing end-to-end Business Intelligence solutions, from requirements gathering to delivery, which includes requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications.

Collaborating closely with internal business and IT partners globally to analyze complex business problems and provide effective data-driven solutions.

Providing visualization solutions using tools such as Tableau, Power BI, and other in-house developed tools.

Designing and maintaining data models, ensuring data accuracy and consistency across the organization.

Creating and optimizing ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.
Requirements:
What we need to see:

Bachelors degree in Computer Science, Information Systems, or a related field, or equivalent experience.

A minimum of 10+ years of consistent experience in implementing full-cycle business intelligence projects, including requirements gathering, modeling, data warehousing, data development and creating analytics in visualization applications.

Expert-level knowledge of SQL with the ability to write complex queries and stored procedures efficiently.

Hands-on experience with at least one of the visualization tools like Tableau or Power BI.

Experience with cloud data platforms such as Snowflake or Databricks

A portfolio of successful Business Intelligence projects or case studies.

Excellent written and verbal English language skills.


Ways to stand out from the crowd:

Functional knowledge of Operations and Supply Chain domains.

Hands-on experience with Python and PySpark for large-scale data processing, including experience with distributed computing and data transformation pipelines

Experience with LLMs, embeddings, vector databases or RAG workflows, implementation of AI solutions / algorithms for advanced data analysis - an advantage

A proven track record of designing complex data architectures and successfully implementing new technologies

Proficiency in Jira.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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