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2 ימים
חברה חסויה
Location: Ra'anana
Job Type: Full Time
Required Senior Agentic Systems Engineer
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So what is the role all about?
The Senior Agentic Systems Engineer is a hands-on engineer who designs, builds, and operates AI-powered tools and workflows for engineering teams.
Were looking for builders who are not only users of AI tools, but can design autonomous agentic systems, optimize model usage, create reusable agents and workflows, and orchestrate complex multi-step work across multiple tools and agents.
Youll be a one-person-army builder: able to understand a problem, define the approach, build the backend, create a simple UI when needed, integrate APIs, connect agents, automate workflows, and deliver working tools quickly.
How will you make an impact?
Build centralized AI-powered tools for engineering teams.
Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation.
Design autonomous agentic systems for internal engineering use cases.
Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems.
Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity.
Learn from local teams and convert successful solutions into reusable centralized assets.
Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems.
Optimize AI workflows for cost, latency, quality, and reliability.
Apply token economy thinking when designing agents, prompts, MCP usage, RAG flows, and tool integrations.
Contribute to the internal AI marketplace and reusable asset catalog.
Work directly with engineering teams, collect feedback, and iterate quickly.
Requirements:
Strong practical experience with LLMs and AI-assisted development.
Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.
Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.
Ability to orchestrate complex, multi-step work across cooperating agents and tools.
Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.
Deep, current knowledge of the AI tooling and coding-agent ecosystem, such as Claude Code, GitHub Copilot, Cursor, Codex, or similar.
Experience with telemetry, dashboards, and AI usage analytics.
Strong hands-on software engineering experience.
Full-stack capability: backend, APIs, automation, and basic frontend when needed.
Experience building internal tools, developer tools, automation platforms, productivity solutions, CLI tools, internal plugins, developer portals, or internal marketplaces.
Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.
Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.
Strong product sense and ability to translate engineering pain points into practical tools and solutions.
Ability to design, deliver, and own working solutions independently.
Comfortable working with ambiguity and rapidly evolving technologies.
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Ra'anana
Job Type: Full Time
Required Senior Software Engineer
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
As a Senior Software Engineer, you will be at the heart of building our next‑generation Workforce Management platform - an advanced cloud‑native solution enhanced with intelligent, AI‑powered capabilities.
In this role, you will build full‑stack features, 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.
Develop end to end cloud features on top of AWS.
Optimizing components for maximum performance.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations.
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:
At least 5 years of software engineering experience
AI‑augmented development, including MCP servers
Good understanding of OOP and OOD concepts
Self-motivated, accountable, quick learner and team player
Excellent interpersonal and communication skills
Be open to taking on increasing responsibilities with the goal of role evolving
Fluent English
You will have an advantage if you also have:
Implemented AI/LLM agentic systems
Engineering experience in both BackEnd/FrontEnd.
This position is open to all candidates.
 
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07/07/2026
Location: Ra'anana
Job Type: Full Time and Hybrid work
The Ecosystems Engineering group is seeking a Senior Software Engineer to join our rapidly growing team. In this role, you will be a key contributor to the bridge between cutting-edge hardware and world-class open-source software. You will focus on the technical implementation and productization of next-generation AI solutions, ensuring deep integration between the software stack and Nvidias hardware acceleration technologies.
You will work within a diverse team of engineers, collaborating with product teams and partners like Nvidia to ensure AI and Cloud offerings remain the industry standard for performance and reliability.
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:
Lead the development and integration of new features for AI & Cloud, utilizing Nvidias cutting-edge technologies (GPUs, DPUs, and more).
Write and optimize code that integrates hardware accelerators into the portfolio, ensuring high performance for AI/ML workloads.
Take ownership of project modules, ensuring they meet rigorous non-functional requirements such as security, resiliency, and maintainability.
Partner with UX, UI, and QE teams to build seamless user experiences for our partners and customers.
Maintain high code quality through rigorous peer reviews and automated testing (CI), and proactively address security vulnerabilities.
Coach and guide junior and mid-level engineers, sharing technical knowledge to foster a culture of continuous learning.
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:
4+ 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 / Storage / Compute experience .
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.
Technical leadership acumen in a global team environment.
Proficient written and verbal communication skills in English.
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
Required Senior Software Engineer (Cloud/Backend)
The Role:
We are building a brand-new Platform group and have already recruited a strong foundational team. We are now looking for a Lead Technical Anchor to act as a Key Technical Partner to the Principal Architect. You will be one of the main players in the group, acting as the primary driving force to ideate, design, implement, maintain, and monitor a massive multi-tenant SaaS distributed ecosystem and inference platform. This mission-critical platform operates across three tiers:
Cloud (Worldwide SaaS)
On-Premise (Gateways / MSC2)
Edge Device Sensors (SDR / IoT tactical devices)
We need a heavyweight engineer with the battle scars of planning and designing distributed systems from scratch, but who is still "hot on code" and loves being deeply hands-on. We operate with a strict 'You Build It, You Run It' culture.
(Note: While this role is heavily focused on backend architecture and platform infrastructure, we believe in end-to-end ownership. You will occasionally dive into the frontend (React) to deliver complete features).
What You Will Do:
Key Technical Partner: Work in close partnership with the Principal and Software Architect to translate high-level architectural vision into production reality.
Architect Distributed Systems: Lead the design, planning, and implementation of highly complex, high-throughput distributed systems from the ground up, ensuring seamless data ingestion and inference across Edge, On-Prem, and Cloud layers.
Lead by Example in Code: Write extremely sharp, scalable, and maintainable code. You will set the engineering standards for the rest of the team using Node.js, Express, and NestJS.
End-to-End Ownership: Take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. Ensure the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.
Requirements:
Background: B.Sc. in Computer Science (from a leading university) OR Alumnus of an elite military technology unit.
Experience Level: 7+ years of overall software engineering experience, with at least 5+ years of hardcore backend development focusing on distributed systems.
Expert Coder: You are still deeply hands-on and "hot on code".
Core Backend Stack: Expert-level knowledge of JavaScript (JS) and TypeScript (TS). Deep, authoritative expertise in Node.js, Express, and NestJS, alongside a profound understanding of the JS Event Loop and asynchronous programming.
Distributed Systems: Proven, battle-tested experience planning, designing, and implementing complex, high-throughput distributed systems from scratch.
Cloud Native: 5+ years across on of AWS, Azure, or GCP with a focus on managed services (Serverless, EKS/AKS/GKE, auto-scaling).
Architecture: Proven experience with Event-Driven Design (one of Kafka, RabbitMQ, Redis Stream) and Microservices.
State Management: High-speed in-memory state (Redis) and relational data stores (PostgreSQL).
SaaS & Security: Expertise in secure, multi-tenant SaaS, ideally with knowledge of Zero Trust Architecture (ZTA) and mTLS.
Containers: Hands-on experience with Docker and basic Kubernetes.
Frontend Willingness: Practical experience with React and a strong willingness to touch client-side code when necessary to deliver end-to-end features.
Big Advantages:
Infrastructure as Code: Deep expertise treating infrastructure as software using Server-less Framework, Terraform, AWS CDK.
AI Tooling: Experience enriching and optimizing development using dev-assisting GenAI tools (such as Cursor, CoPilot, or ClaudeCode).
Data Scale: Experience with time-series telemetry pipelines and long-term storage tiering.
This position is open to all candidates.
 
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חברה חסויה
Location: Ra'anana
Job Type: Full Time
Required ML-Engineering Lead
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.
Requirements:
M.Sc. in Electrical Engineering, Computer Science, or a related technical field.
At least 7 years of experience building, training, and deploying ML models.
Proficiency in Python and deep familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow).
Experience building AI agents (e.g., RAG systems, agentic workflows, or tool-calling implementations) is a significant plus.
Proven ability to take a machine learning task from the research phase to a fully implemented and evaluated solution.
This position is open to all candidates.
 
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07/07/2026
Location: Ra'anana
Job Type: Full Time and Hybrid work
The Engineering team is looking for a Principal Software Engineer to join us in the Ra'anana office, focusing on the sovereign cloud project. In this role, you will design and build a high-scale, multi-tenant cloud platform that abstracts complex isolation, quota management, and jurisdictional compliance into a seamless experience-powering sovereign OpenShift-as-a-Service, VM-as-a-Service and Model-as-a-Service (AI) offerings. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
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
Work with Red Hat's Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Requirements:
8+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Expert in a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Expert in microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Technical leadership acumen in a global team environment
Excellent debugging skills
Proficient written and verbal communication skills in English
Bachelor's degree in computer science or equivalent working experience
The following are considered a plus:
Experience with cloud development
Familiarity with virtualization, networking, or storage
Background in DevOps or site reliability engineering (SRE)
Experience with open source development
This position is open to all candidates.
 
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5 ימים
Job Type: Full Time
We are building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.

Our teams mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.

As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.


What you'll be doing:

Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.

Collaborate with engineering teams across us to identify AI infrastructure challenges and solve them through upstream innovation.

Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.

Participate in architecture discussions, API design, technical proposals, and code reviews.

Build reliable, scalable infrastructure software for next-generation AI workloads.

Write clear technical documentation and design proposals.
Requirements:
What we need to see:

B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience.

5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.

Deep understanding of Kubernetes and the cloud-native ecosystem.

Experience extending, building, or contributing to Kubernetes-based solutions.

Strong communication skills and the ability to collaborate across engineering teams and open-source communities.

Curiosity, adaptability, and an interest in learning AI infrastructure.


Ways to stand out from the crowd:

Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects.

Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles.

Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes.

Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems.

Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure.
This position is open to all candidates.
 
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21/07/2026
Location: Ra'anana
Job Type: Full Time
we are looking for a Senior Software Engineer \ Search Engineer (Elasticsearch & Vector Search)
What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.
Requirements:
Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).
This position is open to all candidates.
 
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05/08/2026
Location: Ra'anana and Yokne`am
Job Type: Full Time
We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components within the DOCA SDK.

Work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.

Collaborate across the software stack, including applications, virtualization, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and contribute to the design of performant, maintainable software.
Requirements:
What we need to see:

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

8+ years of experience developing in C/C++.

Experience with Linux development tools and debugging.

Solid understanding of networking concepts and protocols (such as Ethernet, TCP/IP, or similar).

Experience with virtualization technologies.

Strong analytical and problem-solving skills.

Experience optimizing software performance. Good understanding of operating systems and computer architecture.


Ways to stand out from the crowd:

Experience developing high-performance or low-latency software.

Background with DPDK, RDMA, or similar networking technologies.

Experience designing APIs or SDKs.

Contributions to open-source projects such as DPDK, OVS, or the Linux Kernel.

A collaborative mindset, curiosity, and excellent communication skills.
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
As the AI Software SDK Senior Team Leader, you will manage the companys NPU AI software stack end to end, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). Built on the newest AI compiler and runtime AI frameworks, this stack turns the most demanding neural networks into high-performance execution on our company NPUs. You will build and lead a multi-site global organization, plus sub-contractor teams abroad, including a dedicated automation and release team responsible for a fully automated CI and release process.
Key Responsibilities:
Build and lead the AI Software SDK development group , in Israel and other global locations plus sub-contractor teams abroad.
Own the NPU AI software stack across Host and IP, Host-side SDK, runtime, APIs, and UMD/KMD drivers (Linux, Android), and IP-side firmware, built on modern AI compiler frameworks (TVM, MLIR, IREE).
Deliver high quality, at performance, and on-time AI SW SDK product, working across functions and directly with customers.
Lead the automation and release team to deliver a robust, fully automated CI and release process.
Recruit, mentor, and grow the organization, including its team leaders.
Requirements:
B.Sc. in Electrical Engineering, Computer Science, or a related field
7+ years in software management, including managing team leaders or multiple teams
10+ years of hands-on software engineering with strong C/C++; deep embedded and low-level experience (firmware, drivers, RTOS) is a must
Solid grasp of driver and system-level software (Linux UMD/KMD, Android) and a track record of delivering complex software stacks and SDKs across Host and IP, including automated CI/CD and release processes
Experience managing geographically distributed teams and sub-contractors, and working directly with customers
Strong leadership, communication, problem-solving, and English skills, with the ability to drive execution in a fast-paced environment
Advantages
Experience with NPU, AI accelerator, or DSP software stacks
Experience with modern AI compiler/runtime frameworks (TVM, MLIR, IREE) and ML frameworks (TensorFlow, PyTorch, ONNX, TFLite)
Driver and Android HAL bring-up for hardware accelerators or custom silicon
M.Sc. in Electrical Engineering, Computer Science, or a related field.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
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Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
we are seeking a Senior Product Manager focused on ML Platform to be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of AI infrastructure. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional compute performance. Collaborate with the industry's best as we partner with hyperscalers, emerging NeoClouds, and enterprises building large-scale AI clusters, shaping the future of heterogeneous AI infrastructure. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while working on groundbreaking projects.
As a Senior Product Manager for the ML Platform, you will own the strategy, roadmap, and feature definition of ' heterogeneous inference serving platform - a system designed to enable efficient inference across diverse and mixed compute environments. You will work directly with our R&D teams and end customers to shape the product, engage compute and storage partners to co-define reference architectures, and serve as an internal expert on performance benchmarking and collective communication tuning in support of ' cluster and performance engineering teams.
Requirements:
5+ years of experience in the HPC or AI/ML industry, with deep hands-on technical expertise across the AI compute stack.
Deep understanding of inference serving architectures for heterogeneous compute - including serving engines (vLLM, SGLang, or equivalent), support for mixed accelerator environments, and the scheduling and memory challenges they introduce.
Solid knowledge of multi-node inference, tensor and pipeline parallelism, and the trade-offs involved in scaling large models across heterogeneous GPU and accelerator clusters.
Solid knowledge of KV-cache management and tiering, including disaggregated prefill/decode architectures, CPU/storage offload, and their operational implications at scale.
Experience with performance benchmarking of ML workloads - defining methodologies, running experiments, interpreting throughput/latency/cost trade-offs, and communicating results to both technical and business audiences.
Familiarity with CCL tuning (NCCL, RCCL) and the impact of collective communication configuration on inference and training efficiency across large GPU clusters.
Familiarity with storage systems relevant to ML workloads - including high-throughput distributed file systems (e.g., Lustre, VAST, WekaIO), object storage, and checkpoint/model weight loading strategies under tight latency budgets.
Experience engaging technology partners (compute, storage, silicon vendors) to define joint reference architectures and go-to-market proposals.
Clear written and oral communication skills with the ability to effectively collaborate with executives, engineering teams, and external partners.
Ability to write extensive technical content (white papers, technical briefs, reference architectures) for external audiences with a balance of technical accuracy and clear messaging.
Travel as needed.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8763886
סגור
שירות זה פתוח ללקוחות VIP בלבד