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18/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team as a Senior Power and Performance Architect - Networking, influencing the future of our network systems.

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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23/06/2026
Location: More than one
Job Type: Full Time
We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding 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.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.
Requirements:
What we need to see:

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

+5 years of experience.

Strong ML/Data Science background with hands-on experience in LLMs or generative AI.

A systems-level mindset with the ability to estimate end-to-end requirements across the entire AI stack.

Proven ability to translate research and product requirements into clear software/hardware specifications.

Exceptional research skills: you can digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced Python programming skills for performance modeling and data analysis.

Excellent communication skills, with the ability to present complex findings with clarity and conviction.

A pragmatic approach: you are detail-oriented but can prioritize effectively to focus on the most critical issues.


Ways to Stand Out from the Crowd:

Deep understanding of datacenter infrastructure, network topologies, and protocols.

Expertise in distributed training methods and their impact on infrastructure.

Knowledge of AI performance metrics and the impact of different deployment strategies.

Experience extrapolating academic research into tangible hardware architecture requirements.

A track record of leading complex, multidisciplinary research projects that result in production impact.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Staff Architect, Digital Signal Processing, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Staff Engineer on the Digital Signal Processing team, you will be a technical leader responsible for architecting and developing the core algorithms that power our next-generation data center interconnects. You will leverage your expertise in communication theory, forward error correction (FEC), and modulation to design novel, low-complexity solutions that push the boundaries of speed and reliability.
In this role, you will not only define the technical direction for critical projects but also mentor other engineers and collaborate across hardware and software teams to bring your goal to life in silicon.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the architecture, design, and implementation of digital signal processing (DSP) algorithms for high-speed optical communication systems. Drive the long-term technical roadmap for our signal processing and communication architectures by staying current with academic and industry trends.
Develop and analyze novel forward error correction (FEC) and modulation schemes to optimize for performance, power, and complexity tradeoffs.
Create comprehensive system-level models using tools like Matlab, Python, or C++ to simulate and validate algorithm performance.
Collaborate closely with logic design, verification, and software teams to ensure the successful implementation, integration, and bring-up of algorithms in custom silicon.
Provide technical leadership and mentorship to a team of DSP and communication systems engineers, fostering innovation and engineering excellence.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field or equivalent practical experience.
10 years of experience in digital signal processing, communication theory, and algorithm development.
Experience in the design and implementation of algorithms for communication systems, including FEC or modulation techniques.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
Experience in the theory and practical implementation of modern FEC codes (e.g., LDPC, staircase, polar codes) and advanced modulation formats.
Experience in designing and modeling high-speed optical communication transceivers or similar high-bandwidth systems.
Experience leading the development of algorithms from initial concept through to successful silicon production.
Strong publication record in conferences or journals in the field of communications or signal processing.
Excellent programming skills in Matlab for algorithm development, simulation, and analysis.
This position is open to all candidates.
 
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23/06/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a Chip Design Manager to join our Networking team! As a Chip Design Manager in our Networking Business Unit, you will lead a team of highly skilled engineers responsible for verifying the next generation of our cutting-edge network products and GPU technologies. This is a unique opportunity to make a real impact at the heart of our AI and HPC revolution, while working in a fast-paced, innovative environment. You will join a passionate, experienced team working at the forefront of silicon verification - using advanced methodologies and tools to ensure design correctness for world-class solutions in data centers, high-performance computing, networking, and storage.

What You'll Be Doing:

Lead and grow a team of formal verification engineers focused on pre-silicon FV of complex digital designs.

Define and drive strategies and methodologies across multiple projects to prove design correctness and ensure quality.

Collaborate closely with Architecture, Design, and DV teams to identify verification needs and drive closure.

Provide technical guidance, mentoring, and support to engineers on the team.

Own planning and execution of verification deliverables to ensure high quality and timely tapeouts.
Requirements:
What We Need to See:

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

5+ years of managerial experience leading engineering teams in chip design or verification.

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

Strong understanding of chip design flows and verification methodologies.

Excellent leadership, analytical, problem-solving, and communication skills.


Ways to Stand Out from the Crowd:

Experience with formal verification tools and methodologies (e.g., JasperGold, VC Formal).

Background in assertions, coverage models, or formal testbench development.

Track record of building and scaling high-performing engineering teams.

A passion for recruiting, mentoring, and developing talent.
This position is open to all candidates.
 
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23/06/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a Team Leader to build and run our Customer Facing Architects group focused on Spectrum-X in Israel. This team serves as the technical connection between our internal AI Networking compose group and our top customers. These include hyperscalers, cloud service providers, sovereign AI initiatives, and corporate AI solution developers rs.

What youll be doing:

Team Leadership, Build and guide a team of senior Spectrum-X customer-facing architects. Set technical direction, own hiring and mentoring, and establish clear roadmap for customer early engagement, onboarding and tracking lifecycle.

Customer Architecture & Technical Ownership, Serve as the senior technical authority for Spectrum-X deployments at hyperscalers, national AI programs, and enterprise AI factories. Drive E2E solution adoption, lead sophisticated technical architecture issues in the solution, and guide customers through configuration, tuning, and performance debugging at the NIC, switch, and fabric level. Convey customer's needs, and lead strategic PoCs and benchmarks to demonstrate Spectrum-X advantages.

Product Feedback, Turn field findings and customer difficulties into concrete feedback for R&D, ASIC, and software teams while partnering with AI Networking Architecture to make sure our deployment realities shape next-gen Spectrum-X design.

Work with Product Management to influence reference architectures and go-to-market strategy and represent Spectrum-X at customer briefings and industry events such as SC, OCP, and Hot Interconnects
Requirements:
What we need to see:

BSc/MSc/PhD in Electrical/Computer Engineering, Computer Science, or a related engineering field from leading academic institute.

12+ overall years of experience in networking, solutions/field engineering, or network architecture related to data center operations

5+ years in management role.

Deep, hands-on expertise in data center fabric design: Clos/leaf-spine topologies, BGP, L2/L3 congestion signalling, datapath configurations, and L2/L3 switching at scale.

Proven understanding of RDMA networking: RoCE v2, InfiniBand semantics, congestion control (ECN/PFC/DCQCN), and the interaction between transport behavior and AI training communication patterns (all-reduce, all-to-all).

Proven experience with customer-facing technical roles - pre-sales architecture, field engineering, critical issues, or professional services - working with major hyperscalers or CSP accounts.

Demonstrated ability to lead distributed technical teams, set direction, and deliver results in ambiguous, fast-moving environments.

Excellent communication skills; ability to present to senior technical and executive collaborators.


Ways to stand out from the crowd:

Direct experience with NVIDIA Spectrum switches, ConnectX NICs, or BlueField DPUs in production or lab environments.

Familiarity with AI/ML training frameworks (PyTorch, NCCL) and how collective communication patterns work well with network fabric design.

Background in network telemetry, observability tooling, or adaptive routing algorithms.

Experience with multi-tenant AI fabric isolation, network slicing, or traffic engineering in GPU cluster environments.

Prior collaboration with ASIC or silicon teams on network feature definition.
This position is open to all candidates.
 
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18/06/2026
Location: More than one
Job Type: Full Time
We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.
Requirements:
What we need to see:

MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.

5+ years of experience in deep learning and machine learning in a production environment.

Excellent Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows.

Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).

Experience with large scale production systems and pipelines, with a track record of developing production-grade models

Experience with agentic AI systems, agent frameworks, and evaluation of agent performance and reliability.

Strong algorithm development experience, with knowledge of inference optimization techniques such as model distillation, quantization, pruning.

Background with algorithms including zero/few-shot learning, self-supervised and unsupervised learning and generative AI models for synthetic data creation.

Experience with fine-tune / training LLM models

You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.


What will make you stand out from the crowd:

Strong software development experience.

Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.

Experience with tools for data processing and storage.

Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Senior Analog Design Engineer, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Staff Analog Design Engineer, you will design and integrate analog sub-systems. You will be responsible for ensuring the Analog Front-End (AFE) communicates flawlessly with the Digital Signal Processor (DSP), the package and silicon are a single electrical entity. Your work will bridge the analog and digital worlds to enable industry-leading performance.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Own the architecture and implementation of a major sub-component, such as the entire receiver AFE or the clocking/Phase-Locked Loop (PLL) distribution network.
Design the critical "suspension system" (e.g., Equalization/CTLE, ADC) that allows the digital core to function perfectly despite a noisy, high-loss channel.
Lead the definition and design of test chips to verify out novel topologies and circuit techniques in next-generation Gate-All-Around (GAA) nodes.
Collaborate with DSP, firmware, and system architects to define hardware/software partitioning and interface specifications.
Provide technical guidance and mentorship to engineers on the team.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field.
8 years of experience in Analog/Mixed-Signal design.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related technical field.
Experience leading a block or sub-system tape-out for high-speed I/Os.
Experience demonstrating innovation in high-speed link design through patents or product releases.
Experience with package and PCB co-design and their impact on signal integrity.
Experience in system-level modeling and simulation using tools like Matlab or Python.
Knowledge of noise analysis, jitter decomposition, and adaptive loops.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Senior Post-Silicon Validation Engineer, Networking
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
We are building a new team to lead the post-silicon validation efforts for our cutting-edge product. We're looking for highly motivated and talented engineers to join us in ensuring the quality and functionality of our next-generation networking silicon. This is a unique opportunity to be part of a foundational team and make a significant impact.
As a Silicon Validation Engineer, you'll play a pivotal role in the validation of our custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. Your expertise in post-silicon validation will be essential in identifying and resolving issues before they impact our customers, ensuring a seamless and high-performance cloud experience.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Conduct in-depth analysis into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities.
Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
Write, execute, and debug validation tests using Python or C/C++, running on Pre-Silicon (Pre-Si) emulation platforms and primarily on the silicon.
Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues.
Contribute to the development of test infrastructure and methodologies to improve validation efficiency and coverage.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical/Computer Engineering, Computer Science, related fields, or equivalent practical experience.
8 years of experience with functional tests for silicon validation (i.e., writing in C or C++ or Python or similar).
8 years of experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.
Preferred qualifications:
Ability to learn new systems quickly and work on their own in a changing environment.
Excellent communication and collaboration skills.
Excellent problem-solving skills.
Passion for technical issues with and a strong sense of ownership.
Interest in hardware and a passion for transitioning into silicon validation.
This position is open to all candidates.
 
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18/06/2026
Job Type: Full Time
We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.
Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

At least 8 years of experience in ML engineering with a track record of deploying LLMs and agents to production at scale (including distributed environments).

Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks.

Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads.

Knowledge of ML training and inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins)

Experience with teaching and mentoring.

You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build.

Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly.



Ways to stand out from the crowd:

Experience deploying and optimizing generative models and multi-agent systems for performance.

Deep systems knowledge (Linux internals, network protocols, or high-performance computing).

A background in security research, including knowledge of firewalls, intrusion detection, or network architectures.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Silicon Validation and Debug Engineer
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all services (Search, YouTube, etc.) and Cloud.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Contribute to developing and improving post-silicon test content that exercises both IP and SoC levels workloads and other compute-intensive scenarios.
Collaborate with architecture, design, and firmware teams to define comprehensive validation plans for SoC features, focusing on power consumption, thermal management, sensors behavior, and performance metrics.
Work closely with design and firmware teams to propose and implement solutions for optimizing SoC power efficiency and performance, including tuning core-to-memory latencies and bandwidth, power control loops, thermal control loops, etc.
Develop and maintain automated test scripts and frameworks (primarily in Python) to improve validation efficiency and coverage.
Participate in early silicon bring-up and platform bring-up activities, ensuring the stability and functionality of high-power multi-core SoCs.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical/Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience with functional tests for silicon validation (i.e., writing in C, C++ or Python, or similar).
Experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.
Experience in debugging and triaging.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Familiarity with pre-silicon development environments (e.g., emulation, software modeling).
This position is open to all candidates.
 
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23/06/2026
Location: More than one
Job Type: Full Time
We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.

Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.

What you'll be doing:

Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products.

Work with our Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with our Networking products.

Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution.

Bring independent analysis, communication, and problem-solving to customer experience.

Collaborate with engineering to document, recreate and solve issues.
Requirements:
What we need to see:

BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).

5+ years system software development and troubleshooting experience, ideally with some customer facing.

Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software.

Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies.

Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).

Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.


Ways to stand out from the crowd:

Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN).

Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS).

Experience with SRv6 technology, HPC, low-latency systems and performance tuning.

Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird.

Experience with AI coding tools, AI agents, etc.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8706909
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