דרושים » תוכנה » Head of Technology and Architecture

משרות על המפה
 
בדיקת קורות חיים
VIP
הפוך ללקוח VIP
רגע, משהו חסר!
נשאר לך להשלים רק עוד פרט אחד:
 
שירות זה פתוח ללקוחות VIP בלבד
AllJObs VIP
כל החברות >
סגור
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 :)
לפני 22 שעות
Location: Ra'anana
Job Type: Full Time
The Chief Architect at our company Actimize owns the technical vision that holds this portfolio together. The mandate is to ensure that a wide-ranging set of products remains coherent, secure, scalable, and economical to build and operate regardless of where and how it is deployed. This is a hands-on leadership role at the intersection of deep technical authority and enterprise strategy: you will set architectural direction, resolve the hardest cross-cutting trade-offs, and raise the engineering bar across the organization.
This is the most senior individual-contributor-plus-leadership technical role in the company. You will be a trusted advisor to the executive team and the final technical authority on architecture decisions that span products.
How will you make an impact?
Architectural Vision & Strategy
Define and own the multi-year target architecture across the entire product suite, balancing product autonomy with shared platform leverage.
Establish an architecture strategy so that products can be delivered on-premise, in private cloud, in public cloud, or as pure cloud SaaS.
Drive the platform and shared-services strategy (identity, data, integration, observability, deployment tooling) that reduces fragmentation across products.
Help architects translate business and product strategy into technical roadmaps; advise the executive team on build-vs-buy, modernization, and major technology bets.
Design abstractions and packaging models that let a single product run reliably across heterogeneous environments with differing scale, network, data residency, and operational constraints.
Establish reference architectures and patterns for tenancy, configuration management, release/upgrade cadence, and feature parity across on-premise and cloud-hosted deployments.
Security, Compliance & Resilience
Embed security, privacy, and regulatory compliance into the architecture by design - addressing the standards relevant to financial services (e.g., data protection, auditability, segregation, encryption, and regional data residency).
Define non-functional requirements and architectural guardrails for availability, disaster recovery, transactional integrity, performance, and observability appropriate to mission-critical financial systems.
Partner with Security, Risk, and Compliance leadership to ensure the architecture withstands audit and regulatory scrutiny across jurisdictions.
Governance & Standards
Establish and run an architecture governance function: standards, decision records, review processes, and a technology radar - proportionate enough to enable speed rather than obstruct it.
Evaluate and select core technologies, platforms, and strategic vendors; own the long-term technology stack direction.
Leadership & Influence
Lead and mentor a community of architects and senior engineers; grow architectural capability across teams.
Build consensus across product, engineering, security, operations, and commercial stakeholders, and make decisive calls when consensus isn't reachable.
Represent the company's technical vision with key customers, partners, and prospects, and in due-diligence and pre-sales conversations for strategic deals.
Requirements:
12+ years in software engineering with a sustained track record in senior architecture roles; significant experience as a principal or chief-level architect.
Demonstrated ownership of architecture for enterprise-grade products delivered across multiple deployment models - on-premise and cloud/SaaS - not solely cloud-native or solely on-premise.
Deep, current expertise in distributed systems, multi-tenancy, data architecture, API/integration design, and at least one major public cloud (AWS, Azure, or GCP), alongside containerization and orchestration (e.g., Kubernetes).
Strong command of security and resilience engineering for systems handling sensitive, high-stakes data.
This position is open to all candidates.
 
Hide
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712902
סגור
שירות זה פתוח ללקוחות VIP בלבד
משרות דומות שיכולות לעניין אותך
סגור
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 :)
לפני 22 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
The Chief Architect at our company Actimize owns the technical vision that holds this portfolio together. The mandate is to ensure that a wide-ranging set of products remains coherent, secure, scalable, and economical to build and operate regardless of where and how it is deployed. This is a hands-on leadership role at the intersection of deep technical authority and enterprise strategy: you will set architectural direction, resolve the hardest cross-cutting trade-offs, and raise the engineering bar across the organization.

This is the most senior individual-contributor-plus-leadership technical role in the company. You will be a trusted advisor to the executive team and the final technical authority on architecture decisions that span products.
How will you make an impact?
Architectural Vision & Strategy
Define and own the multi-year target architecture across the entire product suite, balancing product autonomy with shared platform leverage.
Establish an architecture strategy so that products can be delivered on-premise, in private cloud, in public cloud, or as pure cloud SaaS.
Drive the platform and shared-services strategy (identity, data, integration, observability, deployment tooling) that reduces fragmentation across products.
Help architects translate business and product strategy into technical roadmaps; advise the executive team on build-vs-buy, modernization, and major technology bets.
Design abstractions and packaging models that let a single product run reliably across heterogeneous environments with differing scale, network, data residency, and operational constraints.
Establish reference architectures and patterns for tenancy, configuration management, release/upgrade cadence, and feature parity across on-premise and cloud-hosted deployments.
Security, Compliance & Resilience
Embed security, privacy, and regulatory compliance into the architecture by design - addressing the standards relevant to financial services (e.g., data protection, auditability, segregation, encryption, and regional data residency).
Define non-functional requirements and architectural guardrails for availability, disaster recovery, transactional integrity, performance, and observability appropriate to mission-critical financial systems.
Partner with Security, Risk, and Compliance leadership to ensure the architecture withstands audit and regulatory scrutiny across jurisdictions.
Governance & Standards
Establish and run an architecture governance function: standards, decision records, review processes, and a technology radar - proportionate enough to enable speed rather than obstruct it.
Evaluate and select core technologies, platforms, and strategic vendors; own the long-term technology stack direction.
Leadership & Influence
Lead and mentor a community of architects and senior engineers; grow architectural capability across teams.
Build consensus across product, engineering, security, operations, and commercial stakeholders, and make decisive calls when consensus isn't reachable.
Represent the company's technical vision with key customers, partners, and prospects, and in due-diligence and pre-sales conversations for strategic deals.
Requirements:
12+ years in software engineering with a sustained track record in senior architecture roles; significant experience as a principal or chief-level architect.
Demonstrated ownership of architecture for enterprise-grade products delivered across multiple deployment models - on-premise and cloud/SaaS - not solely cloud-native or solely on-premise.
Deep, current expertise in distributed systems, multi-tenancy, data architecture, API/integration design, and at least one major public cloud (AWS, Azure, or GCP), alongside containerization and orchestration (e.g., Kubernetes).
Strong command of security and resilience engineering for systems handling sensitive, high-stakes data.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712921
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
לפני 22 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.
Requirements:
12+ years in software engineering with strong depth across both development and quality engineering
4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
Demonstrated experience designing quality infrastructure used at scale - 50+ engineers, high-velocity pipelines, enterprise SLAs
Direct production experience building or operating systems that incorporate LLMs or AI agents - not evaluations, but shipped systems
Background in large-scale CI/CD architecture and the performance engineering domain
Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred
Agentic AI & LLM Proficiency
Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712941
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
לפני 22 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.
Requirements:
12+ years in software engineering with strong depth across both development and quality engineering
4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
Demonstrated experience designing quality infrastructure used at scale - 50+ engineers, high-velocity pipelines, enterprise SLAs
Direct production experience building or operating systems that incorporate LLMs or AI agents - not evaluations, but shipped systems
Background in large-scale CI/CD architecture and the performance engineering domain
Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred
Agentic AI & LLM Proficiency
Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712931
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
לפני 22 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.
This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live.
How will you make an impact? 
You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas:
Cloud Architecture Design & Implementation
Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.
Enterprise Networking & Private Connectivity
Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test).
AI Developer Toolchain & Platform Engineering
Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune).
CI/CD, DevOps & Platform Automation
Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team.
Identity, Security & Governance
Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture.
Cross-functional Leadership
Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.
Requirements:
8+ years in software/cloud architecture, with 5+ years hands-on Azure (AKS, Azure OpenAI/AI Foundry, APIM, Key Vault, ACR, Azure Monitor)
Strong Azure networking: hub-and-spoke VNets, peering, Private Endpoints, Private DNS, firewalls, and S2S VPN / ExpressRoute
Proven track record building AI/ML infrastructure in production (LLMs, RAG, vector search, agents)
Deep Infrastructure-as-Code (Terraform / Bicep) and CI/CD (GitHub, GitHub Actions) expertise
Enterprise IAM and security: Entra ID, OAuth2/OIDC, managed identities, RBAC, and zero-trust connectivity
Hands-on with containers and orchestration (Docker, Kubernetes/AKS) and observability tooling (OpenTelemetry, Grafana, Azure Monitor)
Experience integrating AI developer tools (GitHub Copilot, Azure AI Foundry, Anthropic / OpenAI APIs) and MCP/A2A patterns
Fluency in English.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712975
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
לפני 21 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.
This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live.
How will you make an impact? 
You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas:
Cloud Architecture Design & Implementation
Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.
Enterprise Networking & Private Connectivity
Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test).
AI Developer Toolchain & Platform Engineering
Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune).
CI/CD, DevOps & Platform Automation
Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team.
Identity, Security & Governance
Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture.
Cross-functional Leadership
Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.
Requirements:
8+ years in software/cloud architecture, with 5+ years hands-on Azure (AKS, Azure OpenAI/AI Foundry, APIM, Key Vault, ACR, Azure Monitor)
Strong Azure networking: hub-and-spoke VNets, peering, Private Endpoints, Private DNS, firewalls, and S2S VPN / ExpressRoute
Proven track record building AI/ML infrastructure in production (LLMs, RAG, vector search, agents)
Deep Infrastructure-as-Code (Terraform / Bicep) and CI/CD (GitHub, GitHub Actions) expertise
Enterprise IAM and security: Entra ID, OAuth2/OIDC, managed identities, RBAC, and zero-trust connectivity
Hands-on with containers and orchestration (Docker, Kubernetes/AKS) and observability tooling (OpenTelemetry, Grafana, Azure Monitor)
Experience integrating AI developer tools (GitHub Copilot, Azure AI Foundry, Anthropic / OpenAI APIs) and MCP/A2A patterns
Fluency in English.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712988
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
לפני 22 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.
This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live.
How will you make an impact? 
You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas:
Cloud Architecture Design & Implementation
Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.
Enterprise Networking & Private Connectivity
Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test).
AI Developer Toolchain & Platform Engineering
Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune).
CI/CD, DevOps & Platform Automation
Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team.
Identity, Security & Governance
Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture.
Cross-functional Leadership
Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.
Requirements:
8+ years in software/cloud architecture, with 5+ years hands-on Azure (AKS, Azure OpenAI/AI Foundry, APIM, Key Vault, ACR, Azure Monitor)
Strong Azure networking: hub-and-spoke VNets, peering, Private Endpoints, Private DNS, firewalls, and S2S VPN / ExpressRoute
Proven track record building AI/ML infrastructure in production (LLMs, RAG, vector search, agents)
Deep Infrastructure-as-Code (Terraform / Bicep) and CI/CD (GitHub, GitHub Actions) expertise
Enterprise IAM and security: Entra ID, OAuth2/OIDC, managed identities, RBAC, and zero-trust connectivity
Hands-on with containers and orchestration (Docker, Kubernetes/AKS) and observability tooling (OpenTelemetry, Grafana, Azure Monitor)
Experience integrating AI developer tools (GitHub Copilot, Azure AI Foundry, Anthropic / OpenAI APIs) and MCP/A2A patterns
Fluency in English.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712971
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
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.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8701249
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
חברה חסויה
Location: Ra'anana
Job Type: Full Time
In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.
Requirements:
B.Sc in Engineering, Computer Science, or related technical field. MS or PhD highly desired.
5+ years of experience as SW Architect.
8+ years of experience as SW developer.
Proficiency in Python, C++.
Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
Ability to work and operate in a highly dynamic environment.
Advantages:
Experience in implementing state-of-the-art neural networks, generative AI and LLMs embedded SW over SoCs /DSPs/NPUs.
Familiarity with AI frameworks such as optimum PyTorch, Tensor Flow, vLLM, SgLang and others.
Familiarity with graph compilers such as mlir, tvm, xla.
Familiarity with runtime frameworks such as ExecuTorch, MLIR iree, Onnx runtime.
Deep understanding of LLM and CNN quantization algorithms.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8680819
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
7 ימים
Location: Ra'anana
Job Type: Full Time
We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What youll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities.

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction.

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling.

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.
Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.

8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams.

Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence.

Experienced with developing software testing tools and tests infrastructure.

Strong Python programming skills; experience building production-quality automation frameworks and tooling.

Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent).

Hands-on experience with LLMs or AI-assisted developer tooling - building, integrating, or productizing AI capabilities in an engineering workflow.

Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions.


Ways to stand out from the crowd:

Deep Linux expertise: system internals, networking stack, process management, and scripting.

Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment.

Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking.

Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization.

Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8703678
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
5 ימים
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.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8706931
סגור
שירות זה פתוח ללקוחות VIP בלבד