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16/08/2026
Location: Herzliya
Job Type: Full Time
We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.
Requirements:
Bachelors degree or higher in Computer Science, Software Engineering, Electrical Engineering, or equivalent practical experience.

Professional software development experience in Rust, C, C++, or another embedded systems programming language, with a solid foundation in computer science.

Experience in the security domain, such as operating-system security, identity, secure coding, cryptography, security protocols, secure boot, hardware-backed security, or threat mitigation.

Preferred Qualifications:

Knowledge of networking and security protocols, authentication and authorization, certificate-based authentication, secrets management, and Zero Trust architectures.
This position is open to all candidates.
 
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16/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.

Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.
Requirements:
B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related technical field.
Proven experience and technical excellence in RTL design for complex IPs, subsystems, or SoCs.
Proven hands-on experience with Verilog/SystemVerilog, microarchitecture definition, RTL implementation, design reviews, and design quality practices.

Preferred Qualifications:
Experience applying AI-assisted techniques to improve silicon design productivity, debug, documentation, automation, or workflow efficiency.
Experience with security-oriented silicon subsystems, including crypto engines, memory protection, secure boot, trusted execution, or related hardware security domains.
Experience working across key parts of the silicon development lifecycle, including verification collaboration, integration, synthesis readiness, timing considerations, and design closure.
Experience with low-power design, performance optimization, clock/reset architecture, CDC/RDC, lint, synthesis, or timing closure.
Experience acting as a technical leader, design owner, or mentor for other engineers.
Strong problem-solving skills, ownership mindset, and ability to drive technical work independently while collaborating effectively across disciplines.
High motivation, curiosity, and willingness to learn new domains, tools, and methodologies.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.
Requirements:
What you have
B.Sc. in Computer Science or Software Engineering (or equivalent experience).
2-3 years of mobile development experience on Android or iOS.
Strong experience in one or more of the following: Kotlin, Java, Objective-C, or Swift.
Solid understanding of Android SDK, Android Studio,Gradle, Xcode.
Experience developing and maintaining production-level mobile applications or SDK components.
Good understanding of software engineering fundamentals (OOP, design patterns, data structures).
Experience debugging and troubleshooting mobile applications.
Very good English communication skills.
Strong ownership mindset and ability to learn and grow in a fast-moving environment.
Bonus points.
Experience with SDK or library development.
Experience working with cross-platform mobile frameworks (React Native, Flutter, Unity, etc.).
Knowledge of Android performance optimization and memory management.
Experience working with CI/CD pipelines and automated testing.
Familiarity with mobile security concepts.
Experience working with AI-assisted development tools, agents, or automation systems.
Recommended by our employee.
This position is open to all candidates.
 
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16/08/2026
Location: Herzliya
Job Type: Full Time
The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

The team works on complex security-oriented silicon subsystems that require rigorous pre-silicon verification and close collaboration with architecture, design, firmware, system engineering, and physical design partners to deliver robust silicon quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.

Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.
Requirements:
Qualifications
B.Sc., M.Sc., or Ph.D. in Electrical Engineering, Computer Engineering, or a related technical field.
Proven experience and technical excellence in pre-silicon design verification for complex IPs, subsystems, or SoCs, including subsystem integration, and third-party IP integration.
Significant hands-on experience with modern DV methodologies, verification planning, testbench development, regressions, coverage analysis, debug, and verification closure.
Experience as a people manager or technical leader driving verification work across multiple engineers.

Preferred Qualifications
Proficiency in SystemVerilog-based verification environments and methodologies such as UVM, assertions, constrained-random verification, and coverage-driven verification, along with Python-based automation and modern verification infrastructure workflows.
Experience applying AI-assisted techniques to improve silicon design or verification productivity, debug, coverage, automation, or workflow efficiency.
Hands-on experience with Python, Linux, Git-based development workflows, and automation infrastructure.
Experience with formal verification, low-power verification, performance verification, or subsystem-level verification.
Experience with security-oriented silicon subsystems, including crypto engines, memory protection, secure boot, trusted execution, or related hardware security domains.
Experience with emulation platforms such as Palladium.
Experience leading or working in teams that include both design and verification engineers.
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.
Requirements:
M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related quantitative field.
7+ years of hands-on experience building and deploying ML/AI solutions in production, including 2+ years leading or growing a data science/ML team.
Proven experience designing and shipping GenAI-based product features and multi-agent systems using modern orchestration frameworks such as LangGraph, CrewAI, or AutoGen, including RAG, vector databases, and tool/function calling.
Practical experience with the agentic production stack: observability/eval tooling (e.g., Langfuse), durable workflow orchestration, and typed service design.
Strong foundation in classical machine learning - supervised/unsupervised methods, feature engineering, model evaluation - and sound judgment for when to use classical models over LLMs.
Advantage: Demonstrated experience fine-tuning and deploying small/large language models, including SFT and preference/RL-based methods such as GRPO or DPO.
Advantage: Experience with model optimization and efficient serving: quantization, pruning, LoRA/QLoRA, and high-throughput inference frameworks such as vLLM.
Advantage: Experience designing end-to-end ML pipelines (versioning, training/tuning, deployment, testing, monitoring) on cloud-native infrastructure (Kubernetes, GCP/AWS).
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making SolarEdge devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems — cloud, mobile, and other on-site controllers — deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya
Requirements:
* B.Sc in Electrical Engineering, Computer Science, or equivalent
* At least 2+ years of experience in significant Linux embedded software development
* Experience using AI tools during the development process
* Proficiency in C and C++ programming languages Advantage:
* Experience with Cellular, Wi-Fi and CANbus driver development - An advantage.
* Familiarity with Python - An advantage.
* Experience in unit testing and test-driven development for embedded systems - An advantage.
* Familiarity with security best practices for embedded systems - An advantage.
* Experience with Buildroot Linux build system - An advantage.
* Experience with Linux kernel, device drivers, and system-level programming - An advantage. SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. ?SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance
This position is open to all candidates.
 
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16/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.
Requirements:
Qualifications
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
Experience in computer vision, efficient small language models, or related AI model development areas
Experience as a people manager or as a technical leader driving work across a team.

Preferred Qualifications
Hands-on experience with computer vision systems deployed in production or resource-constrained environments.
Hands-on experience with model development, evaluation, optimization, compression and efficient inference for edge devices.
Experience bringing AI solutions from research or prototyping into production environments.
Experience working with MLOps, data pipelines, model lifecycle management, or production AI infrastructure.
Demonstrated ability to motivate people, create clarity, and drive execution.
High motivation, ownership mindset, strong collaboration skills, and the ability to influence across disciplines.
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Lead DevOps Engineer to join our team as our first dedicated infrastructure hire. You will play a foundational role in architecting and scaling the engine that powers our cloud services and on-premise hardware deployments.

This is a position with real ownership. You aren't just managing servers; you are designing the delivery, monitoring, and security standards for a product that must thrive in both high-scale cloud environments and strictly disconnected, air-gapped networks.

Requirements
What Youll Do

Build the Foundation: Architect and maintain our core cloud infrastructure (IaC) and CI/CD pipelines, ensuring a seamless path from code to production.
Universal Observability: Design and deploy a "conservative" yet powerful logging, monitoring, and alerting stack (e.g., Prometheus, Grafana, Loki) that works similarly in the cloud and in disconnected on-prem environments.
Infrastructure as Code: Develop portable Pulumi
On-Prem & Air-Gapped Strategy: Create the systems and tooling required to package, deploy, and update our software on customer environments with zero internet access.
Customer Infrastructure: Lead the deployment of cloud-based gateways and managed services for our enterprise clients, ensuring high availability and robust security.
Security & Encryption: Implement and manage critical security infrastructure, including mTLS, CA-signed certificate management, and hardened Linux service configurations.
Collaborate with R&D: Work closely with our networking and hardware engineers to bridge the gap between low-level connectivity and scalable cloud architecture.
Requirements:
7+ years of experience in DevOps, with a proven track record as a lead or founding engineer in an early-stage startup
The "0 to 1" Skillset: Experience building infrastructure from scratch
Cloud & Container Mastery: Deep proficiency with AWS (specifically ECS or EKS), Terraform/Pulumi, and Docker
Observability Expert: Experience building self-hosted monitoring and logging stacks that do not rely on third-party SaaS (Prometheus/Grafana is a must)
Networking Depth: Strong understanding of Linux networking (L3-L7), secure tunneling, and VPC configurations
Independent Builder: Ability to make high-level architectural decisions autonomously and execute them with minimal supervision
Proficiency in Python for building custom automation tools
This position is open to all candidates.
 
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16/08/2026
Location: Tel Aviv-Yafo and Herzliya
Job Type: Full Time
We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.

Responsibilities

Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.

Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.

Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.

Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.

Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.
Requirements:
Qualifications
4+ years of hands-on experience in security research or threat hunting, with a specialized focus on identity, cloud, or AI-based threat scenarios.
Deep understanding of the threat landscape, including modern attacker techniques and complex kill-chains, with a focus on platform internals across OS, Cloud Workloads and Identity platforms.
Experience hunting across diverse signal sources, effectively uncovering threats within on-premises, hybrid, and cloud environments.
Programming proficiency (e.g., Python, C#, or similar), with a proven ability to develop and ship production-ready protection logic. Demonstrated ability to work effectively in cross-functional teams, bridging the gap between deep research and scalable engineering.

Preferred Qualifications
B.Sc. or M.Sc. in Computer Science or Software Engineering OR/AND related field
Public track record of security research, such as technical blog posts, whitepapers, or presentations at major industry conferences.
Experience in offensive security or adversary simulation.
Deep understanding of AI-driven threats.
Proven ability to reason over large-scale datasets using big-data query languages, applying security expertise to identify novel patterns and make evidence-based decisions.
Familiarity with cloud environments (e.g., Azure, AWS) and the specific security challenges inherent to hybrid and multi-cloud infrastructures in large enterprise customers.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8782813
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
03/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Our Chip Design team is growing! Join our high-end product design team and help shape the next generation of advanced semiconductor solutions.
About us
The company has been delivering tens of millions of chips annually to leading tier-1 customers in the Security, Cloud, and Computing domains. We specialize in semi-custom, high-quality solutions, going above and beyond to meet our customers needs. Our Israel Design Center is fully self-contained, covering everything from product definition and architecture to design, software, validation, and TEST - meaning real ownership and no daily late-night calls across time zones We also pride ourselves on a warm, open culture where everyone knows each other, and every engineer can clearly see the impact of their work on the final silicon. We are looking for experienced Chip Design Engineers to join our team and take a key role in RTL design, new IP development, and SOC integration As part of the design team, you will be deeply involved in architectural exploration, protocol evaluation, and hands-on design work across multiple chip blocks. Responsibilities
* RTL design and implementation of new IPs
*  SOC integration and design ownership of chip subsystems
* Exploration and evaluation of new protocols and architectural solutions
* Close collaboration with architecture, verification, validation, software, and back-end teams
* Delivering high-quality, best-in-class RTL that meets performance, power, and area goals Why Join Us?
* Work on advanced, high-volume silicon products
* Real impact on end-to-end chip development
* Collaborative environment with strong technical ownership
* A stable yet agile organization with a human, people-first culture
Requirements:
BSc or MSc degree in electrical / computer engineering from leading institutions
3-7 years of hands-on experience in VLSI / chip design
Familiarity with the RTL-to-GDSII full flow - advantage
Strong analytical thinking, communication skills, and ability to work in a multi-disciplinary team
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8699722
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 :)
16/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.
Requirements:
Qualifications
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
Experience in computer vision, efficient small language models, or related AI model development areas
Experience as a people manager or as a technical leader driving work across a team.

Preferred Qualifications
Hands-on experience with computer vision systems deployed in production or resource-constrained environments.
Hands-on experience with model development, evaluation, optimization, compression and efficient inference for edge devices.
Experience bringing AI solutions from research or prototyping into production environments.
Experience working with MLOps, data pipelines, model lifecycle management, or production AI infrastructure.
Demonstrated ability to motivate people, create clarity, and drive execution.
High motivation, ownership mindset, strong collaboration skills, and the ability to influence across disciplines.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8782872
סגור
שירות זה פתוח ללקוחות VIP בלבד