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We are looking for an experienced Staff Technical Program Manager. This role involves overseeing the planning, execution, and delivery of technical projects within our organization, while also managing deployments to production environments. The ideal candidate will possess strong project management skills, technical understanding, and the ability to effectively communicate with cross-functional teams.

What you will do:
Project management Lead and manage the end-to-end lifecycle of complex technological projects - understands projects goals and details, proficient in crafting project roadmaps, overseeing scope, backlog, and timelines, monitoring crucial milestones, managing KPIs, and navigating essential dependencies.
Identify and mitigate risks, resolve issues, and make adjustments as necessary.
Establish continuous improvement as part of the culture, processes and tools.
Define and enforce best practices and standards for the production environments operations.
Facilitate and guide R&D teams in the release planning and delivery process, ensuring effective collaboration & execution while defining and implementing best practices and tools.
Ensure cross organizational communication and process coordination, serving as the focal point for project health visibility and strategic status reporting to senior executives
Identify problems by observing and studying system functions and performance results.

Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control teams develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, RT problems on different platforms - DSPs, Company’s ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges are taking part in the following fields: power electronics, digital close loop control and digital signal processing algorithms implemented on company’s microprocessors. By joining us, you’ll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platforms.
* Developing on various micro-controllers and dealing with various RT constraints.
* Ownership of a project\product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW.


Country:
Israel

City:
Herzliya

We are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

What you'll do​:
Design and build an infrastructure to correlate multiple data sources and matching methods.
Research and develop algorithms for asset discovery , and solve complicated identification issues.
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues with our solutions and platform.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.

What you'll do

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.

Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.

End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).

Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.

Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.

Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.

We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.

What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

As a Senior Data Analyst in the R&D you will be deeply involved in development of Armis core services and features, mainly within the vulnerability management realm.
You will also be involved in research and explorations of new Integrations, their modeling into Armis while dealing with uncertainty, constantly facing unfamiliar technologies.
You will be providing KPIs & metrics, build dashboards and other data visualizations to facilitate data driven decisions about our product.
You will own a unique point of view and perspective about how users are using the product and a close acquaintance with new data features and involvement in their enrollment.

We are looking for an analyst that first and foremost has a passion for data,
Can see the big picture but also pay attention to small details,
Team player that can work with many interfaces but also lead and take ownership.

What you'll do:
Provide complex data analysis to facilitate feature development and product decisions.
Research and explorations of diverse APIs.
Identify data issues that require special attention.
Identify and fix data inconsistencies.
A team player who understands that the only way to solve large problems is with teamwork and collaboration.

We are looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.

What you'll do:
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization.
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies

Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.
With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Integration Engineer will develop, perform and analyze integrated system tests, with an understanding of the market requirement system design and the end user’s expectation.
What will you be doing?
* E2E responsibilities for SolarEdge system and product validation and experiments.
* Plan and execute HW & SW integration tests.
* Understand and study the System operation edges and system design edges.
* Plan and design manual and script automation tests of SolarEdge Products.

Country:
Israel

City:
Herzliya

Job Description
As a member of the R&D Team, the salesforce Developer 's role is to work with business partners to realize the full capability of the CRM. You'll be responsible for design and development of customizations, extensions, configurations, and integrations. The salesforce Developer will be in charge of design, development, testing, and change management. Drive highly visible salesforce initiatives across the organization including building applications on the Force.com platform and supporting integrations with salesforce.

End-to-End Delivery: Lead complex Information Systems projects from end to end, including all lifecycle stages (initiation, planning, execution, monitoring, and closure/maintenance).
Problem Solving: Find creative and effective solutions for complex technical and business challenges.
system Implementation & Configuration: Manage and implement salesforce configuration tasks, including validation rules, approval processes, workflows, and flows.
Global Support & Enhancement: Work closely with international teams to provide system support, training, gather feedback, and implement system enhancements.
Reporting & Analytics: Create rich, actionable analytic reports for various teams and management.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing:
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.