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Location: Ra'anana
Job Type: Full Time
We are seeking a highly skilled and motivated Director of Software Development Tools to lead a team of approximately 50 engineers delivering high‑performance development tools for advanced AI and Wireless platforms. In this role, you will provide strong technical and organizational leadership, guide the team through complex engineering challenges, and build an efficient organization that enables fast, reliable delivery of production‑quality tools.
You will work closely with business units and customers to understand their needs and constraints, support ongoing development efforts, and help drive the evolution of innovative tooling solutions. Our development tools increasingly incorporate AI‑Agentic workflows, where software agents contribute to analysis, optimization, and coordination across the development lifecycle, while operating within structured and well‑governed systems.
Key Responsibilities
Leadership & Execution
Lead and manage a multidisciplinary organization of ~50 engineers delivering mission‑critical development tools.
Provide clear direction and guidance to ensure high engineering standards, effective problem‑solving, and on‑time delivery.
Establish and continuously improve organizational structures, development processes, and execution practices to support efficiency and scalability.
AI‑Agentic Development Tooling
Guide the development of tools that incorporate AI‑Agentic flows, where agents support and orchestrate parts of the development process such as compilation, debugging, simulation, and analysis.
Ensure agent‑based capabilities are designed with clear boundaries, traceability, and validation, suitable for enterprise and production environments.
Balance innovation with stability, ensuring AI‑driven components integrate smoothly into established toolchains and workflows.
High‑Performance Toolchains
Oversee the development of compilers, debuggers, simulators, and related tooling optimized for performance and accuracy.
Ensure tools enable fast and reliable modeling of complex AI accelerators and wireless systems.
Maintain focus on production requirements, including correctness, determinism, scalability, and long‑term maintainability.
Business & Customer Collaboration
Collaborate closely with business units, platform teams, and customers to understand tooling needs and priorities.
Translate requirements into clear technical roadmaps and execution plans.
Serve as a senior technical partner, ensuring alignment between engineering delivery and business objectives.
Team Development & Culture
Build, mentor, and retain a strong engineering leadership team.
Encourage collaboration, knowledge sharing, and professional growth across the organization.
Foster a culture that values engineering rigor, accountability, and continuous improvement.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or a related field (advanced degree preferred).
Proven experience leading large software engineering teams delivering complex, production‑grade systems.
Strong background in systems‑level software development, including solid expertise in C++.
Experience or working knowledge of AI‑Agentic or agent‑based workflows applied to software tooling or automation.
Familiarity with development tools such as compilers, debuggers, simulators, or similar infrastructure.
Strong execution and project leadership skills, with the ability to manage priorities and cross‑team dependencies.
Effective communication and stakeholder‑management skills.
Practical, results‑oriented mindset with a focus on quality, scalability, and reliability.
This position is open to all candidates.
 
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28/06/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.
Requirements:
BSc in Computer Science/Software Engineering or equivalent.
7+ years in JAVA and cloud development.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Self-motivated, accountable, quick learner and team player.
Excellent interpersonal and communication skills.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale, including solving complex large-scale engineering challenges (Big Advantage).
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.
This position is open to all candidates.
 
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28/06/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.
Requirements:
Have you got what it takes?
BSc in Computer Science/Software Engineering or equivalent.
7+ years in JAVA and cloud development.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Self-motivated, accountable, quick learner and team player.
Excellent interpersonal and communication skills.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale, including solving complex large-scale engineering challenges (Big Advantage).
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.
This position is open to all candidates.
 
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18/06/2026
Location: Ra'anana
Job Type: Full Time
We are looking for a highly skilled Advanced Development Engineer to join the Software Architecture Team. In this hands-on role, you will shape the future of large‑scale data centers through advanced simulation, high‑scale telemetry, and next‑generation infrastructure solutions. You will work at the frontier of technology - exploring, prototyping, and proving new concepts - and turn them into scalable, production‑ready foundations. Your work will span large‑scale telemetry pipelines, data integrity at extreme scale, and advanced simulation frameworks used to model, validate, and optimize complex data‑center environments.

As part of the Architecture team, you will directly influence cross‑company platforms and long‑term technology direction, while actively contributing code, frameworks, and ideas. You will also have opportunities to participate in and contribute to open‑source projects and communities.

What you'll be doing:

Discover, evaluate, and prototype emerging technologies with a strong focus on simulation, scale, and system behavior modeling.

Design, implement, and evolve high‑scale software systems integrated across the full Data Center life‑cycle.

Build advanced simulation solutions to model data‑center behavior, telemetry flows, failure scenarios, and system performance at scale.

Define and expand large‑scale telemetry and observability pipelines, ensuring accuracy, consistency, and traceability of data.

Incorporate new and diverse data sources to continuously extend the capabilities of a centralized, petabyte‑scale Data Lake.

Collaborate closely with engineering, architecture, and research teams across us to translate business and technical requirements into robust, scalable solutions.

Work side‑by‑side with architects and data scientists to design, validate, and evolve data and simulation architectures.

Contribute to defining the architecture of next‑generation monitoring, analytics, and simulation platforms for hyperscale data centers.

Extend existing platforms and actively contribute code, designs, and leadership to Open Source projects and communities.
Requirements:
What we need to see:

BSc. or MSc. in Computer Engineering or Computer Science.

5+ years of hands‑on software development experience in complex, large‑scale systems.

Strong experience with large‑scale data processing and analytics platforms (e.g., Spark, Databricks, or equivalent).

Proven ability to design and implement high‑performance, scalable solutions, from ETL pipelines to independent simulation frameworks.

Excellent coding skills, technology‑agnostic, with a focus on correctness, performance, and maintainability.

Ways to stand out from the crowd:

Experience designing or building simulation platforms or system‑level modeling solutions.

Strong background in cloud‑native architectures and modern deployment methodologies.

Knowledge of data center architectures, networking, and infrastructure technologies.

Experience with GPU‑accelerated or high‑performance computing solutions.

Active contributions to Open Source projects or technical communities.
This position is open to all candidates.
 
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23/06/2026
Location: Ra'anana and Yokne`am
Job Type: Full Time
In this role, you will help build the evolution of our DOCA Networking software stack - the accelerated infrastructure framework powering AI factories and distributed computing platforms. You will drive software innovation from vision to real-world impact, influencing some of the most advanced computing systems in the world. As part of the DOCA Product Group, you will lead software strategy for ConnectX NIC and BlueField DPU platforms - key pillars of our data center and AI networking strategy - helping build the intelligent infrastructure of tomorrow.

What You'll Be Doing:

Lead the Product-strategy for DOCA networking stack and products across their life-cycle: from vision and inception, through detailed customer & ecosystem requirements, roadmap crafting, market introduction, growing into in-scale delivery, and product improvement cycles.

Orchestrate a unified technical strategy between AI product teams, engineering teams, and customers to advocate the use of DOCA libraries & microservices, and to develop new DOCA APIs and services for new deployments.

Drive multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.

Forge strong partnerships with customers and ecosystem partners - actively listening to their technical needs, delivering expert mentorship, and supporting successful, large-scale AI (and other) deployments that drive their strategic goals.

Create use cases and reference applications to demonstrate product value to technical and executive audiences.

Gather insights to define future products, including analysis of complementary and competitive products and customer feedback.
Requirements:
What We Need to See:

BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.

12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.

MBA or similar experience, with a balance of technical and business knowledge.

Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.

Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.

Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.

Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.

Highly motivated, fast learner, and a team-player.


Ways to Stand Out from the Crowd:

Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.

Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge

Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.

Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.

Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.
This position is open to all candidates.
 
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28/06/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
we are looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics Infrastructure group. If youre passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you. You will help design and develop large scale, AWS based systems that power the global our company CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.
How will you make an impact?
Design and implement scalable microservices using AWS technologies.
Develop high‑quality services in a Java Spring Boot environment.
Participate in the full feature lifecycle-from design to implementation.
Analyze requirements and create clear, comprehensive design documentation.
Review and refine designs with peers and stakeholders.
Collaborate closely with the team to iterate on architecture and features.
Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.
Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
5+ years in cloud development
5+ years in JAVA Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations youve created. Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges. (Big Advantage).
This position is open to all candidates.
 
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28/06/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
our company enables organizations to address todays consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the worlds leading cloud customer experience platform.
CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, technical excellence, and the adoption of advanced technologies at scale.
We are looking for a Lead DevOps Engineer to join our CSA Infrastructure group. In this role, you will take a technical leadership position, driving the design, scalability, security, and operational excellence of our cloud platforms, while mentoring engineers and shaping DevOps best practices across teams.
How will you make an impact?
Lead the design, evolution, and operation of large-scale cloud infrastructure on AWS and Azure, ensuring high availability, security, resilience, and cost efficiency
Drive Infrastructure as Code (IaC) strategy and quality, ensuring consistency, reusability, and maintainability across environments and development groups
Act as a technical authority for troubleshooting complex production issues and leading root-cause analysis
Collaborate closely with development, QA, security, and product teams to align infrastructure with business and product needs
Mentor and guide DevOps engineers, fostering a culture of ownership, learning, and continuous improvement
Lead initiatives around observability, monitoring, alerting, and incident response
Proactively identify risks, technical debt, and optimization opportunities
Evaluate, introduce, and scale new tools, technologies, and AI-driven automation to improve efficiency and reliability.
Requirements:
BSc in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience
6+ years of hands-on experience as a DevOps Engineer
Deep expertise with AWS services (Azure experience is a strong advantage)
Strong programming and scripting skills (Python, groovy)
Extensive experience with Infrastructure as Code (CDK / CloudFormation / Terraform)
Strong experience designing and operating CI/CD platforms (GitHub Actions, Jenkins, etc.)
Solid understanding of cloud-native architectures, containerized workloads, and distributed systems
Hands-on experience with monitoring, logging, alerting, and observability platforms (Grafana and Prometheus)
Solid hands-on experience working with Linux environments, including system troubleshooting, performance tuning, and operational best practices
Strong understanding of security, encryption, and compliance best practices
You will have an advantage if you also have:
Strong ownership mindset with end-to-end responsibility
Natural technical leader and mentor
Excellent collaboration and communication skills
Ability to influence architecture and best practices across teams
Proactive, self-driven, and comfortable operating in ambiguity
Strong problem-solving and decision-making abilities
Global mindset and fluent communication in English.
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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07/07/2026
Location: Ra'anana
Job Type: More than one
The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of software stack with Nvidias hardware acceleration technologies.
This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers, product teams, Nvidia engineers, and lighthouse customers.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do:
Architect and lead the implementation of new features and joined solutions for AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more.
Explore deep code integration into various products, ensuring optimal integration between the portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Requirements:
7+ years of relevant technical experience in software development.
Advanced experience working in a Linux environment with at least one language like Golang, Python, Java, C, or C++.
Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.
Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
Virtual Networking / Software Defined Networking (SDN) experience
Experience with AI/ML technologies, including foundational frameworks, large language models (LLMs) and orchestration tools.
Ability to quickly learn and guide others on using new tools and technologies.
Proven ability to innovate and a passion for staying at the forefront of technology.
Excellent system understanding and troubleshooting capabilities.
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Proficient written and verbal communication skills in English.
This position is open to all candidates.
 
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21/06/2026
חברה חסויה
Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.
Requirements:
What we need to see:

B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field.

8+ years of software engineering experience building production distributed systems.

Core Systems Programming: Expert-level proficiency in languages such as Go, C++, or Rust, with a focus on high-performance, concurrent architectures.

Solid understanding of Kubernetes and container-based deployments for production services.

Experience deploying, monitoring, and maintaining ML models or data-intensive services in a production environment.

Comfort working in ambiguous, fast-moving environments where the product is still being shaped.


Ways to stand out from the crowd:

Experience building ML model-serving platforms or MLOps tooling (model registries, A/B rollout frameworks, feature stores) at scale.

A track record of taking systems from prototype to stable, production-grade platform serving real enterprise customers.

A "Systems" Thinker: You don't just write software; you understand the full stack, from how data moves across the wire to how its processed in a distributed cluster.

Practical Innovation: The ability to simplify complex problems and build internal tools or frameworks that empower other engineering teams to move faster.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8703732
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שירות זה פתוח ללקוחות VIP בלבד
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
21/06/2026
Location: Ra'anana
Job Type: Full Time
We are actively seeking an outstanding Software Director to lead our Spectrum Ethernet Switch/SmartSwitch SONiC Group. As part of this team, candidates will engage with SONiC, a collaborative open-source initiative spearheaded by CSPS and numerous vendors, which enables a single network operating system to operate seamlessly across diverse ASICs and platforms. Notably, we have been a major contributor to SONiC since its inception, and our technology is already powering Ethernet Switches, DPUs, and soon BMCs, making SONiC an integral component in RDMA and AI datacenter environments.

What you'll be doing:

As Software Director, candidates will oversee the design, development, and optimization of networking protocols for switching, routing, analytics, telemetry, and more.

They will manage global teams composed of both junior engineers seeking mentorship and seasoned embedded software experts who provide leadership within and beyond the group.

Collaboration will be key, as the role involves working closely with various design and verification teams, architects, product marketing professionals, and both internal and external customers to ensure end-to-end project success.
Requirements:
What we need to see:

B.Sc. in Software, Computer, Electrical, or Communication Engineering, or equivalent experience

Bring at least 15 years of overall experience, including a minimum of 7 years managing R&D engineers.

Experience in C, C++, and Python development.

Familiarity with routing protocols such as BGP, EVPN, and SRv6.

In-depth knowledge of Linux usage and internals.

Combined with creativity, motivation, and a strong value-driven mindset.


Ways to stand out from the crowd:

​Expertise in leading both software and hardware integrations, as well as embedded software development.

Expertise in routing protocols.

Hands-on proficiency in C, C++, and Python development.

Familiarity with a variety of software development tools and methodologies.

Ability to dive deep into technical details, providing insightful guidance on features and bug resolution.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8702617
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