לוח משרות דרושים הייטק תוכנה

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io Marketing Technology Team at Artlist: We are seeking a creative, highly skilled Front-End Developer with strong expertise in Next.js to join our Marketing Technology team. You will play a key role in building fast, high-impact, visually striking landing pages and marketing experiences that support product launches and global campaigns. In this role, you will develop dynamic, interactive, and conversion-driven web experiences using modern front-end technologies-delivering exceptional performance, scalability, and user engagement. What You’ll Do: Landing Page Development
* Build high-performing, interactive, and visually rich landing pages using Next.js, React, and modern front-end tooling.
* Implement animations, transitions, and advanced UI interactions to drive engagement and conversion.
* Translate Figma designs into pixel-perfect, optimized, and responsive interfaces. Next.js & Modern Front-End Engineering
* Develop scalable, maintainable front-end architecture using Next.js, React, TypeScript (optional), and modern bundling and deployment tools.
* Implement server-side rendering (SSR), static site generation (SSG), API routes, and data-fetching strategies to support dynamic marketing content. Ensure cross-browser, cross-device compatibility and excellent performance metrics. Interactive Experiences & Advanced Animations Integrate complex animations using CSS, JavaScript, or animation libraries (GSAP, Framer Motion, etc.).
* Build reusable components and layouts to accelerate landing page production. Collaboration & Campaign Execution
* Work closely with marketing, design, and product teams to implement campaigns with high-quality digital experiences.
* Build tools, components, and templates that speed up campaign launches and iteration. Marketing Technology Integration
* Implement tracking, analytics, A/B testing tools, dynamic forms, personalization elements, and third-party integrations.
* Optimize all pages for SEO, performance, accessibility, and high conversion rates.

Nuvoton Israel is a leading supplier of SoCs, microcontrollers and security hardware solutions for tier-1 customers in the computing and server business. A self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. Our products combine unique sets control, management, and advanced security solutions, enabling our customers to establish differentiation in their end markets. We are looking for a Chip Design Verification engineer to join our Verification team! This is your opportunity to have an impact on the design of millions of computers sold worldwide each year by leading brands.
The role includes: - Building complex verification environments - Meeting the challenges presented by state-of-the-art design - Continues professional growth using the most advanced tools and methodologies - Use AI for improved productivity

As a Principal Software Engineer will:
Lead the technical direction and architecture of business-critical initiatives across Microsoft Security.
Drive the design of large-scale, resilient, and secure distributed systems that serve millions of users.
Contribute to business-critical initiatives in Microsoft Security
Will improve the end-to-end lifecycle of services
Analyze complex system behaviour, and apply modern engineering practices to streamline deployments and reduce costs.
Tackle highly ambiguous, complex problems that span multiple domains, and turn them into clear technical plans and execution paths.
Improve the end-to-end service lifecycle, including reliability, scalability, security, operational excellence, and cost efficiency.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
Partner closely with engineering, program managers, and security experts to drive impactful outcomes for Microsoft Security customers.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of our architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.

Responsibilities -

Business Impact,

Customer Centricity,

Partner Specialization,

Technical Leadership.

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
What Youll Do:
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

You will architect and build a scalable data platform from scratch, engineering high-throughput, low-latency pipelines that drive real-time security analytics and AI-powered systems. As a key member of the Data & AI Algorithms group, you will collaborate with AI/ML engineers, data scientists, and security researchers to design production-grade infrastructure at scale.
This role requires strong ownership, systems thinking, and the agility to operate in a fast-moving environment.
What Youll Do:
Build ML infrastructure to support scalable, low-latency production deployment of data & AI models.
Ensure availability, reliability, and performance of mission-critical data infrastructure
Define and promote best practices for data modeling, orchestration, CI/CD, and infrastructure-as-code
Collaborate cross-functionally to enable data-driven product capabilities

we are looking for a Senior Software Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc