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01/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Guidance Engineer to play a critical role in the development of next-generation drone platforms.

This position focuses heavily on guidance and mission-level decision-making for high-performance aerial systems operating in dynamic, real-world environments.

You will design and deploy guidance and motion planning algorithms that enable precise, high-speed maneuvers and complex mission execution. This role blends analytical rigor with creativity, tackling problems that often have no textbook solutions. Youll collaborate closely with hardware, embedded software, and perception teams to bring advanced autonomy from concept to flight.

Key Responsibilities

Design, develop, and optimize guidance and motion planning algorithms for autonomous drones
Define mission-level behaviors and guidance logic, balancing performance, safety, and robustness
Implement real-time control interfaces to execute trajectories reliably in uncertain conditions
Work closely with embedded software, mechatronics, and perception teams to ensure seamless integration
Identify and address edge cases and failure modes, building resilience and graceful degradation
Stay current with advancements in drone autonomy, guidance, motion planning, and control
Requirements:
BSc or MSc in Mechanical, Aerospace, or related engineering fields.
3+ years of experience in GNC, guidance, autonomy, or related aerospace/robotics fields
Strong experience with AI tools, guidance algorithms, trajectory generation, and motion planning
Solid understanding of system-level constraints affecting real-world aerial platforms
Hands-on experience with real-world drone development, debugging, and iteration
Strong collaboration skills across software, hardware, and deployment teams
A creative, problem-solving mindset with a passion for advanced aerial missions
This position is open to all candidates.
 
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01/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
An Israels leading provider of SaaS-based software solutions for comprehensive Human Capital Management, is seeking for an experienced System Analyst to join an innovative team focused on developing and implementing AI-based solutions. This role involves leading end-to-end system analysis processes for complex systems, working closely with development, data, and business teams.



Responsibilities:

Analyze business needs and translate them into functional and technical specifications
Define and design AI-based systems
Collaborate with stakeholders including business users and development teams
Support development, testing, and implementation processes
Define and document system integrations and APIs
Requirements:
At least 3 years of experience as a System Analyst
Bachelors degree in Industrial Engineering, Computer Science, Software Engineering, Information Systems, or a related field
Proven experience writing functional and technical specification documents
Strong understanding of software development methodologies (Agile / Scrum)
Familiarity with AI-based systems
Ability to work with multiple stakeholders simultaneously
Strong analytical thinking and problem-solving skills
Experience working with cloud platforms (AWS / GCP / Azure)
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are searching for an innovative Software Engineer that will join us and be part of a SW team

In this role you'll
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team
Requirements:
B.Sc. in Computer Engineering or Computer Science (preferably cum laude, from a leading university).
5+ years of experience as a software engineer.
Result oriented and experience in working on complex and large-scale systems.
Passionate about code, self-motivated, fast learner, can do attitude and a great team player.
Experience in working with Rust is a great advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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30/09/2026
Location: Petah Tikva
Job Type: Full Time
The ideal candidate will possess strong problem-solving abilities and passion for developing innovative embedded solutions.

In this role, you will design, implement and maintain real-time embedded software for our next-generation wireless power products.

You will report directly to the VP of R&D.

Job Responsibilities:
Design, develop, improve, and maintain real-time embedded software from concept through production.
Define and implement firm architecture on ARM Cortex-M & STM8 microcontrollers.
Integrate real-time embedded software with external hardware components and complete system products.
Collaborate closely with hardware, systems and QA teams to ensure seamless integration and performance.
Participate in code reviews, debugging and system validation processes.
Create and maintain clear technical documentation for design and code.
Requirements:
Job Requirements:
Bachelors degree in Computer Science, Electrical Engineering or Computer Engineering - Must.
Minimum 3 years of hands-on experience in microcontroller programming (ARM Cortex-M series) - Must.
Proven experience in real-time embedded systems design and low-level hardware interfaces (SPI, I2C, UART, CAN, etc).
Strong understanding of MCU architecture and system peripherals (ADC, DMA, PWM, TIMERS, GPIOs, System Clocks, etc.).
Deep knowledge in C programming - Must.
Familiarity with Python and MATLAB - Must.
Solid understanding of the software development lifecycle, including coding standards, debugging, version control and documentation practices.
Proficiency in using lab and test equipment (oscilloscope, logic analyzer, power supplies) - Must.
Excellent interpersonal skills: team player, independent, fast learner, hardworking and reliable - Must.
Strong communication skills in both Hebrew and English - written and verbal.


Advantages:
Experience in hardware design and power electronics.
Basic knowledge of object-oriented concepts in C or C++.
Familiarity with automotive industry standards such as MISRA-C:2004.
Experience with IAR and/or Keil Embedded Workbench development environments.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.
Requirements:
What we need to see:
B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment.
Expert-level programming skills in C++, with strong Python skills alongside it.
Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur.
Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes.
Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost.


Ways to stand out from the crowd:
Experience writing hardware simulation software - network, system, or architectural simulators, models, or testbenches.
Networking experience - protocols, fabrics, switching, or RDMA - and experience working alongside silicon, systems, or architecture teams.
Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming.
Hands-on experience building or fine-tuning LLMs or other generative models.
Agent workflows, tooling, or context pipelines adopted by other engineering teams.
This position is open to all candidates.
 
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30/09/2026
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 bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working 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 you'll be doing:
Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.
Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.
Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.
Translate research insights and workload behavior into actionable software, xhardware, 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 production machine learning frameworks.
Requirements:
What we need to see:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
5+ years of relevant industry or research experience. This is not an entry-level position; coursework and personal projects do not substitute for production or research experience at scale.
Hands-on experience running and analyzing AI workloads on multi-node systems - distributed training or large-scale inference - including measuring where time and resources are actually spent.
Demonstrated performance analysis work: building analytical or simulation models of real systems, validating them against measurement, and identifying bottlenecks that led to design or deployment changes.
Strong systems-level thinking across the full AI stack, from model and framework behavior down through compute, memory, storage, and network.
Track record of translating research findings and workload analysis into concrete software and hardware specifications that engineering teams acted on.
Strong programming skills in Python and C/C++, applied to performance modeling, data analysis, and prototyping.


Ways to Stand Out from the crowd:
Deep understanding of data centers, network topologies, and communication protocols.
Familiarity with GPU clusters, collective communication, storage systems, and AI networking bottlenecks.
Experience with distributed training, distributed inference, or large-scale AI serving systems, including the performance metrics and deployment strategies that govern them.
Experience in agentic programming and AI tooling.
Track record of turning academic research into concrete software, hardware, or architecture requirements, and of leading complex multidisciplinary projects with measurable production impact.
This position is open to all candidates.
 
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30/09/2026
Job Type: Full Time
We are looking for best-in-class Chip Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing our groundbreaking and innovative chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you will be doing:

Join the Tel Aviv or Beer-Sheva group, working on RiscV processors platform.

Verification for chip blocks according to specifications under challenging constraints and with high orientation to power, area and performance.

Daily work might involve any or all aspects of chip development including verification, integration, debug

Work closely with firmware and other groups around the globe.
Requirements:
What we need to see:

B.SC./M.SC. or equivalent experience in Electrical Engineering/Communication Engineering/Computer Engineering.

5+ years of proven experience in RTL Frontend ASIC Verification (Chip Design).

High Level of English.

Ways to stand out from the crowd:

Extensive experience in RTL Frontend ASIC Verification (Chip Design).

Strong experience and knowledge in Specman.

Vast background and knowledge in system level aspects.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, helping NVIDIA products meet industry-leading benchmarks for efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards.


We are looking for ideal candidates who will actively test industry-leading features in the FW sector, quickly learn new features, conduct both manual and automated testing, and contribute to the development of automation systems.


What you'll be doing:
Review arch design and requirements documents for new features introduced in the Nvlink program.
Join the effort of QA shift left towards simulation for NVL7 generation.
Design, develop, and perform tests for the new features, as part of FW GA or update releases.
Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Fully collaborate with different external teams like : :product marketing, R&D, and verification.
Define and build setups topologies for appropriate product coverage.
Requirements:
What we need to see:
Practical / BSc in Computer Science or Electrical/Electronics Engineering.
0-3 years of proven experience.
Clear verbal and written communication, proficient in written and spoken English.
Self-reliant individual, capable of planning and carrying out tasks within their assigned area.
Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Ways to stand out from the crowd:
Scripting skills and proven experience in Python or other programming languages.
Proven experience in QA - methodologies, and test design.
Working in a fast-paced environment with multiple parallel running activities.
Knowledge/experience in Networking protocols.
Knowledge of Linux/Windows OS.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a Senior Software Engineer to join the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.
Requirements:
What we need to see:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

5+ years of experience as a software engineer.

Proficiency in programming languages such as Python, Java, or similar.

Deep understanding of software development methodologies and engineering best practices.

Excellent problem solving skills and the ability to address complex technical challenges.

Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Proven track record of delivering high quality work on time and meeting project deadlines.

Ways to stand out from the crowd:

Expert level knowledge of the Python programming language.

Experience with Kubernetes networking.

Strong knowledge of the Linux operating system.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies.

As a design engineer in the DFT design team, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals.



What you'll be doing:

In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies.

As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production.

Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks.
Requirements:
What we need to see:

B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.

5+ years of practical experience.

Exposure to rtl implementation and coding.

Familiarity with verification tools.

Strong debugging, problem solving and analytical skills.

Strong communication and social skills are required.

Ability to work in a geographically diverse team environment.

Self motivated, independent and target oriented.



Ways to stand out from the crowd:

Prior Design or Verification experience.

Experience in developing sophisticated design blocks.

Integration of design elements to large cluster or full-chip.

Experience in working with back-end on area, power and timing closures.

Scripting ability.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for our next-generation data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for our next-generation AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of our DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across our next-generation data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.
Requirements:
What we need to see:

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

8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance.

3+ years of experience as an engineering team manager leading technical performance or R&D teams.

Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference).

Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization.

Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups.

Ways to stand out from the crowd:

Proven track record of optimizing NCCL, RDMA/RoCEv2, and custom collective algorithms specifically tailored for multi-thousand GPU deployments running LLMs or Mixture-of-Experts (MoE) architectures.

Deep experience tuning advanced network traffic mechanisms such as adaptive routing, PFC/ECN congestion control, and packet-spraying technologies.

Experience building autonomous performance-driven tools, AI-assisted root cause analysis agents, or automated regression frameworks for continuous cluster-level performance evaluation.

Hands-on experience developing custom Grafana plugins, complex dashboard panels, or integrated alert management workflows using PromQL/LogQL for hyperscale or HPC environments.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Chip Design Manager to join our Switch Silicon team. As a Chip Design Manager in our Networking Business Unit, you'll join a group of passionate professionals to design and lead the implementation of the next generation of state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!


What You'll Be Doing:

Lead a team of design and verification engineers that develops core units within the Switch Silicon.

Handle micro-architecture for RTL and simulation environment planning for units and modules.

Be responsible for the delivery of complex RTL units and their verification.

Work closely with multiple teams within the organization, such as Architecture, Full Chip, Micro-Architecture, BE, and FW.
Requirements:
What We Need To See:

BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics.

3+ years of managerial experience in chip design.

8+ overall years of industry experience in RTL design, dynamic verification, or related domains.

Strong understanding of chip design flows and verification methodologies.

Excellent leadership, analytical, problem-solving, and communication skills.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Caesarea
Job Type: Full Time
We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the Cisco SiliconOne DFT team. This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon.

Your Impact
Lead and drive DFT verification activities within the Cisco SiliconOne DFT team.

Develop verification plans, environments, checkers, assertions, and coverage models for DFT features.

Verify DFT architecture and implementation in close collaboration with DFT, design, architecture, and verification teams.

Work on verification of scan, MBIST, IJTAG/JTAG, test access mechanisms, DFT controllers, and related SoC-level test features.

Debug complex pre-silicon issues across RTL, verification environments, and DFT logic.

Contribute to scalable methodologies, reusable verification components, and best practices for DFT DV.

Help bridge between general DV methodologies and DFT-specific design and verification needs.
Requirements:
Minimum Qualifications
B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field.
5+ years of experience in design verification roles.
Strong experience with SystemVerilog and UVM-based verification environments.
Experience developing verification plans, coverage models, assertions, and debug flows.
Strong communication skills and ability to work closely with cross-functional teams.
Motivation to learn DFT concepts and become a key contributor in the DFT DV domain.
This position is open to all candidates.
 
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29/09/2026
Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

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.

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

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

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

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

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

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.
Requirements:
What We Need to See:

Bachelors/masters degree in computer science or computer engineering, or equivalent experience

5+ years of experience in software testing, QA automation, or software engineering.

Strong proficiency in Python and scripting for automation.

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

Proven understanding of computer networking and modern Linux operating systems.

Familiarity with software testing, integration, and system validation practices.

Excellent problem-solving, critical thinking, and communication skills.

Ability to work independently, manage multiple tasks, and drive technical initiatives.

Great interpersonal skills, agility, and determination for success.

Fluent English; strong presentation and public speaking abilities.

Ways to Stand Out from the Crowd:

Deep technical know-how and familiarity with networking protocols or low-level system tools.

Experience with Docker, KVM, or other virtualization technologies.

Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana).

Experience with large HW+SW systems and advanced Linux OS technologies.

Proficiency with GIT, Bash, and other scripting languages.
This position is open to all candidates.
 
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29/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:
Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.
Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
Taking part inflows development.
Requirements:
What we need to see:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience.
2+ years of relevant experience.
Proven experience in RTL2GDS flows and methodologies.
Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
Deep understanding of all aspects of Physical construction and Integration.
Knowledge in Physical Design Verification methodology LVS/DRC.
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
Great teammate.
This position is open to all candidates.
 
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