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mPrest is looking for an experienced and highly proactive Security & Network Engineer to join our Global Core Infrastructure team. You will be responsible for the design, operation, and continuous improvement of our network and security infrastructure, with a strong focus on automation, performance monitoring, and modern security principles.

Responsibilities:
Full Network Lifecycle Management: Design, implement, and operate high-availability network and security infrastructure. Proactive Monitoring & Performance: Implement and maintain monitoring solutions (Prometheus/Grafana) to identify bottlenecks and resolve issues before they impact business operations. Security & Audits: Maintain security inventories, perform regular infrastructure audits, and ensure compliance with corporate security requirements. Perimeter & Access Security: Define and maintain robust perimeter defense and secure access controls (Client-to-Site VPN) within a FortiGate environment. Automation: Drive the modernization of network operations by automating routine tasks and configurations.

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

We are looking for an experienced DBA to join our team!
Responsibilities:
Acting as the focal point for all MongoDB-related issues, including reviewing any configuration or setup changes.
Maintain and support MongoDB databases in both Atlas & on-prem!
Maintain and support SQL Server & Postgres databases in both on-prem & AWS.
Monitor the systems health and performance.
Advising software engineers on SQL queries and schema design strategies!
Minimise database downtime and manage HA/DR.
Plan for long-term scalability and architecture planning.
Implement changes, apply patches, and versions when required.
Assist in applying extraction pipelines from MongoDB & SQL Server.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

our companys Radar Team develops cutting-edge radar technology for autonomous driving (AV) and advanced driver-assistance systems (ADAS). We are looking for a Cyber Security Architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding our companys mission-critical sensing technology.
Youll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. Youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale.
What will your job look like?
Security Architecture Design - Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
Threat Modeling & Risk Assessment (TARA) - Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
Secure Communication - Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
Secure Software Design - Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
Compliance & Standards - Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
Collaboration with R&D - Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
Incident Response Support - Provide architectural guidance during security incidents involving radar systems.
Technology Evaluation - Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

We are a global audio-visual technology company developing solutions that enhance collaboration, communication, and engagement. We believe in teamwork, trust, and empowering people to deliver meaningful impact for customers and colleagues worldwide.

What you will do
As a Logistics and Shipping Coordinator, you will be a key part of our EMEA operations team, responsible for ensuring smooth and efficient order fulfillment and shipment processes across Israel and global markets.
Detailed description of the responsibilities:

Manage the end-to-end order fulfillment process, from order entry through delivery
Coordinate domestic and international shipments with warehouses, freight forwarders, and logistics partners
Support sales teams and internal stakeholders with order status updates and operational requests
Monitor shipments and proactively resolve delays or issues in the logistics flow
Ensure accurate execution of orders in ERP systems and maintain high data quality
Work closely with supply chain, operations, and customer-facing teams to ensure timely deliveries
Contribute to continuous improvement of logistics and shipping processes

Join our innovative team at our company, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our companys key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
The role is ideal for someone who is technically strong, creative, independent, and motivated by solving complex, open-ended problems while leading people and driving execution in a fast-paced, product-oriented environment.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our companys products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.