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We are looking for exceptional engineers to join the top-tier team developing the next generation semiconductor platform based on a revolutionary architecture. You will participate in design activities, working on the next generation of our products.

As a Chip Design Engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities:
* Full ownership of one or more IPs within the product:
-Micro-architecture.
-RTL coding and debug.
-Synthesis and timing closure.
-Sign-off.
* Supporting the Verification and Emulation teams: Test plan, Coverage review.
* Ensuring that the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

Location: Holon.

Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.

Job Description:

Development of complex information systems in eMerge.

Learning and expertise in SQL and with unique internal technology.

The Operations team ensures the smooth and efficient functioning of our services and processes. We focus on optimising workflows, improving operational efficiency, and delivering exceptional customer support. By streamlining operations and implementing best practices, we help drive the companys growth and maintain high service standards. Our team is dedicated to providing a seamless experience for our customers and supporting mission to empower businesses globally.


What youll do

You will join the Client Enablement (CE) team, working to build a seamless customer product onboarding and configuration experience for customers across the EMEA and globally. In this role, you will work with various internal stakeholders to ensure client accounts are ready for transaction and that client transactions can be processed smoothly in production environments. You will partner closely with Commercial, Solution Engineering, and Product teams to configure pricing and account capabilities, while identifying opportunities to improve the onboarding experience at scale. The CE team is small but business critical, and you will play a key role in providing a positive initial experience with the platform as the EMEA business continues to grow.

Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Design-for-Test Engineering team works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing.

Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements!

What youll be doing:
You will be in charge of state of the art Design for Test/ATPG flows and implementation.
Take full ATPG ownership end to end on a project, from Arch & planning to pattern generation, verification and post Silicon bring up and diagnosis.
Inventing and maintaining automation flows that provide the short test time to productionץ

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.

Smart Shooter is seeking a highly skilled Computer Vision & Image Processing Engineer to join our innovative team in developing cutting-edge technology solutions. In this role, you will design, develop, and implement cutting-edge image processing and computer vision algorithms. You will work on complex, real-world visual tasks, taking algorithms from theoretical concepts to production-grade deployment on cutting-edge systems.
?About Smart Shooter Smart Shooter is a world-class designer, developer, and manufacturer of innovative Fire Control Systems that significantly increase the accuracy and lethality of small arms. With a rich record in designing unique solutions for the warfighter, Smart-Shooter’s technology enhances mission effectiveness through the ability to accurately engage and eliminate ground, aerial, static or moving targets during day and night operations.
Key Responsibilities
* Research, design, and develop innovative computer vision and image processing algorithms.
* Implement and train Deep Learning models tailored for challenging visual tasks.
* Optimize algorithms and write scalable, clean, and efficient production code.
* Collaborate closely with hardware, software, and systems engineering teams to deliver end-to-end solutions.

we are seeking a detail-oriented and highly organized Controller to join our dynamic finance team.
This is a hands-on, high-impact role with significant responsibility over day-to-day accounting operations, financial reporting, and driving process improvements. The ideal candidate will take full ownership of key processes, contribute to exciting ongoing projects, and help ensure compliance with accounting standards-all while helping us scale efficiently.
This position works closely with cross-functional teams including FP&A, Legal, and Operations to ensure accurate reporting and effective collaboration across departments.
Responsibilities:
Lead and support the monthly, quarterly, and annual close processes in compliance with U.S. GAAP
Coordinate with external auditors for quarterly reviews and annual audits
Oversee daily accounting activities including general ledger maintenance, journal entries, and account reconciliations
Support implementation of accounting systems, automation tools, and internal controls
Ensure accurate revenue recognition in accordance with ASC 606 and support ongoing compliance
Take ownership of accounting processes and continuously seek opportunities to improve efficiency and accuracy
Leverage AI and automation tools to streamline workflows, enhance reporting, and improve decision-making
Collaborate with internal stakeholders to ensure alignment across reporting and compliance
Assist with special projects, financial analysis, and other ad hoc initiatives.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

Be part of a team responsible for designing the next generation of mobile devices. The position includes responsibility for system analysis and HW architecture design for high-speed and low-power interfaces, networking protocols, storage processing, including acceleration of protocols reducing overall power consumption. The job requires collaboration with multiple engineering functions and teams in various geographical locations. It includes identifying system use, requirements definitions, understanding of industry specification for interfaces, operating in industry Standards committees, SW and HW interaction, performance analysis, and more.

We are looking for an ambitious Technical Assistant for Executive VP that thrives in a dynamic and innovative environment and is eager to contribute to our groundbreaking advancements.
What your job will look like:
Track and follow up on action items from leadership meetings and ensure timely delivery
Understand and help scope tasks beyond administrative execution, identifying what's needed for successful outcomes
Document meetings, synthesize key takeaways, and maintain clarity of priorities and next steps
Prepare materials for executive presentations and internal communications
Identify gaps, inefficiencies, and opportunities for improvement across the organization and proactively suggest or initiate solutions
Maintain high discretion and confidentiality with sensitive information
Act as a key support partner to the EVP, helping drive execution across mostly R&D domains
Manage and maintain the EVP's presence across relevant internal and external platforms (e.g., social media, internal communications).

we are looking for a Research Scientist - Sovereign AI Research.
We are hiring across the following specializations. We expect depth in at least one area and the intellectual range to collaborate across them.
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Define and execute a research within your track, experiments, quality gates, and upper bounds in rigorous manner.
Collaborate across tracks on system integration and cross-disciplinary research.
Collaborate work with engineering teams until production.
Mentor junior researchers and contribute to a culture of technical excellence

We are looking for a Threat Intelligence Researcher to join its Threat Intelligence Group and support the companys Cyber Threat Intelligence Exposure Management (CTIEM) services, Incident Response engagement and proactive services. In this position, you will identify, investigate, and monitor external cyber threats and organizational exposures across the open web, dark web, social media platforms, and other intelligence sources. You will help organizations understand and reduce their external attack surface, detect brand abuse and malicious activity targeting their assets, and develop innovative intelligence-driven monitoring capabilities leveraging automation and AI technologies.
The successful candidate should be a creative, highly motivated, and independent researcher with strong analytical skills, a deep understanding of attacker methodologies, and a passion for solving complex intelligence challenges. As part of the role, you will engage with clients, support operational teams, and contribute to the development of cutting-edge CTIEM capabilities.
Main Responsibilities:
Conduct proactive monitoring and investigations across the open web, dark web, forums, marketplaces, messaging platforms, and social media channels to identify threats targeting client organizations.
Analyze organizational exposure across external attack surfaces, including internet-facing assets, leaked information, exposed services, and emerging risks.
Investigate and identify brand abuse activities, impersonation attempts, phishing campaigns, fraudulent domains, and other malicious activities targeting clients.
Detect and assess data exposures and information leaks through a variety of intelligence sources, commercial platforms, and proprietary tools.
Utilize Attack Surface Management (ASM) platforms and related technologies to identify, prioritize, and assess external security exposures.
Develop and enhance intelligence collection, detection, and monitoring capabilities through automation and AI-driven solutions, primarily using Python.
Produce comprehensive intelligence reports, exposure assessments, and actionable recommendations for clients and internal stakeholders.
Engage directly with clients to present findings, explain risks, and support remediation efforts.
Collaborate closely with Incident Response teams to support ongoing investigations.

We are seeking a talented and motivated Data Scientist for a temporary position to support our growing data, analytics, and AI automation needs. This role focuses on turning large volumes of data into models, insights, and intelligent automation - combining classic data science (statistical analysis, feature engineering, machine learning) with the emerging Agentic AI stack (LLMs, MCP, agent orchestration). You will work closely with data engineers and internal teams to prototype and productionise models, build LLM-powered agents and workflows, and support the integration of AI capabilities across the organization.

The ideal candidate is passionate about data and AI, comfortable navigating complex systems, and excited by the opportunity to operationalize AI within a modern enterprise environment. We value curiosity as much as experience: we are looking for someone eager to show what they know, and equally eager to keep learning in a field that moves fast.


Responsibilities
Explore, analyze, and model large volumes of structured and unstructured data in Python, from exploratory analysis and feature engineering through to model validation and communication of results.
Design, train, evaluate, and deploy machine learning models, and monitor their performance, accuracy, and drift in production.
Build and orchestrate Agentic AI solutions - LLM-based agents, RAG pipelines, prompt design, and evaluation frameworks - to automate data quality checks, investigation, and reporting workflows.
Integrate models and agents with internal systems and data sources using MCP servers and clients, and workflow automation platforms such as n8n.
Write efficient and maintainable SQL queries to support analysis, reporting, and data exploration needs.
Collaborate with data engineers to productionise models and agents: reliable data flows, logging, alerting, and performance tuning.
Participate in the development of internal tools and dashboards that make data and AI capabilities accessible across the organization.
Share findings with the team and help evaluate emerging AI tooling as the ecosystem evolves.

A leading information security company in the Petah Tikva area needs a recruitment coordinator with technological experience for a challenging and interesting job.
Job description:
Responsible for all recruitments in the company, including OS for customers and recruitment of internal employees for the company. Accompanying the recruitment process from the screening of a certificate, locating candidates on social networks, telephone interviews and frontal interviews to the stage of a contract with the candidate. Talks and retention of employees in the company.
The position is full-time.

We are looking for a Reception & Social Media Assistant to join our Beer Sheva office.
This is a diverse part time role combining responsibility for our front desk and day to day office administration with hands on support for our social media and employer branding activities.
If you are organized, service oriented, creative, and enjoy working with people and creating engaging content, this could be a great opportunity to combine both worlds.
What Youll Do:
Reception & Office Administration:
Manage the front desk and serve as the first point of contact at our Beer Sheva office
Provide ongoing administrative support for the office
Coordinate office supplies, orders, and other day to day operational needs
Social Media & Employer Branding:
Support the ongoing management of our social media channels
Create engaging content together with our employees, including interviews, photos, and videos
Write, edit, and publish social media posts and other content
Assist in creating content for the companys internal communications app
Contribute to content planning and employee engagement activities
Position Details:
Part time position, three days a week, Monday through Wednesday.
The position is based at our offices in Gav Yam Negev Park, Beer Sheva.