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We are seeking an experienced and highly driven Senior Hardware NPI Program Manager to lead the successful introduction of next-generation hardware products from concept through volume production. In this role, you will partner cross-functionally with Hardware Engineering, Operations, Product Management, and Quality teams to ensure flawless execution of product launches. The ideal candidate has a proven track record of managing complex hardware programs, driving schedules and deliverables across global teams, and enabling a seamless transition from development to scalable manufacturing. There will also be opportunities to manage internal HW,SW and Operational projects with partners.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Own and drive the end-to-end NPI program lifecycle for hardware products, from concept through ramp to sustaining to EOL
Develop, manage, and track detailed project plans, schedules, risks, and dependencies across multiple functions and suppliers
Partner with Engineering to translate product requirements into manufacturable designs and processes
Coordinate with Supply Chain, Manufacturing, and Quality to ensure suppliers and factories are ready for builds and scale
Lead cross-functional meetings, program reviews, and executive updates to communicate status, risks, and recovery actions
Proactively identify program risks, define mitigation strategies, and drive accountability for execution
Ensure manufacturing readiness by leading build events (EVT, DVT, PVT, MP) and ensuring exit criteria are met at each stage
Align stakeholders across engineering, operations, and customer support for smooth product release into the field
Continuously improve NPI processes and best practices to increase efficiency and scalability.

We are looking for a ML Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are looking for a Java Software Engineer- Privacy.
Responsibilities:
Design, develop, and maintain Java-based & .Net based microservices
Ensure backend components are high-performing, stable, and scalable across cloud environments
Collaborate with product managers and cross-functional engineering teams to deliver integrated solutions
Write and maintain clean, well-tested, and secure code following industry best practices

We are looking for a Senior Frontend Developer to join our AI Frontend Infrastructure team.As a senior engineer, you'll be responsible for shaping the technical direction of our frontend-AI infrastructure, ensuring it is scalable, reliable, and developer-friendly. You'll work closely with AI engineers, product teams, and design to create robust abstractions, shared libraries and solutions that allow AI features to be integrated seamlessly into our applications.
Build and maintain frontend infrastructure: Develop and evolve core frameworks, shared libraries, and design system integrations to support AI-driven features across products.
Optimize for performance and scalability: Ensure frontend systems can handle high-frequency AI interactions (real-time rendering, streaming responses, data visualization, etc.) without compromising usability.
Abstract complexity: Design developer-friendly APIs, components, and tooling that make it easy for product teams to consume AI services.
Collaborate across teams: Partner with AI/ML engineers, infra teams, and product designers to integrate AI capabilities into user experiences.Drive best practices: Mentor engineers, improve coding standards, testing strategies, and CI/CD workflows for frontend development.
Explore and experiment: Stay ahead of emerging frontend and AI technologies, evaluating frameworks, libraries, and approaches that could benefit the organization.
What You'll Get to Do
Shape the foundation of how AI is experienced in our product.
Work on challenging technical problems where performance, scalability, and usability matter.
Influence the frontend architecture roadmap and contribute to company-wide engineering standards.
Be part of a team that values experimentation, developer experience, and shipping impactful infrastructure.

Being a worker is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do:
we are a vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for talented and passionate Frontend Engineers to join us!
As a Frontend Engineer on the team, youll have a key role in developing our product using Angular and its unique features, working closely with our Product team while building a delightful experience for our users. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

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. About the job:
* The role includes planning and managing inventory and refurbish facilities
* Monitoring, and analyzing performance metrics (inventory days, stock availability, managing shortages )
* Tracking and implementing and adapting work plans based on planning parameters.
* Leading projects and identifying and addressing gaps and risks.
* The position requires to be a significant PIVOT with many internal interfaces.
* Responsible for coordinating and optimizing production.


Country:
Israel

City:
Herzliya

Come and be you with us
Being a worker is all about being you. We want you to bring all parts of yourself to work. giving you the freedom and confidence to be the best you and do your best work.
were waiting with open arms. Come join us.
About the Team
The AI team at our company is at the forefront of integrating cutting-edge AI technologies into our product, delivering features that enhance user experience, empower decision-making, and drive business insights.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture deploying to
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into our companys core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

As a software engineer at our company, you will be an integral part of our Engineering team, reporting to the Head of Software Engineering. You will interact with AI Product Owners, Architects, and LLMOps to conceive technical solutions for our product, particularly by leveraging LLM capabilities What you'll do: Design, develop, deliver, and document secure and stable technical components for all our company features, in collaboration with the team. Most functionalities will involve the use of LLMs. Ensure consistency between all features in terms of code, architecture, and deployment. Ensure Quality Assurance through business and statistical testing. Integrate LLMs into product features, mastering large and complex Node.js applications. Master advanced Angular and SolidJS techniques. Increase your development best practices, including TDD, coding rules, retrospectives, and features team work. Conceive modular and scalable software architectures using a microservices-based approach.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a skilled and motivated Software Test Engineer to join our QA team. The role involves designing, writing, and executing test plans and test cases, working closely with development and DevOps teams, and contributing to the overall quality of our products in a dynamic and modern technological environment.


Responsibilities:

* Design, write, and execute manual and automated test plans and test cases.
* Analyze product requirements and define relevant test scenarios.
* Report and track bugs using issue tracking tools.
* Collaborate with development, product, and DevOps teams to ensure high-quality deliverables.
* Participate in testing of distributed systems and CI/CD environments.

looking for an Algorithm scientist to join.

Responsibilities
What you will be doing:

You will play a pivotal role in designing, developing, and implementing cutting-edge algorithmic solutions and workflows for the next generation of Optical Critical Dimension (OCD) hardware and applications using a diverse range of disciplines, including advanced physical modeling, optimization, machine learning, and more.

This is a great opportunity to be part of a world-class team that is at the forefront of technological advancement.

In this role, you will join Motion Control group. You will be designing, developing, and implementing advanced motion systems for the next-generation Optical Critical Dimension metrology tools, as part of a world-class R&D division.



Responsibilities
What will you be doing:

Develop and implement unique solutions integrating advanced motion control technologies, delivering innovative and "out-of-the-box" approaches tailored with cutting-edge, high-end technology.
Develop and implement Motion Control solutions for multidisciplinary systems and sub-modules.
Use excellent engineering expertise to develop and optimize servo control systems, including algorithm design and custom solution implementation.
Analyze and optimize motion control system performance to ensure compliance with specifications and stability requirements.
Take ownership of suppliers and manufacturers to establish specifications for needed equipment and keep up on the latest developments.
Present and explain product spec. Definition and design reviews presenting the motion & electronics engineering point of view.
Conduct testing, inspection, and troubleshooting guides for designed motion control or electronics modules and subsystems.
Collaborate closely with R&D activities in terms of motion control and servo solutions assistance for lab set-ups, prototypes, and jigs.

CTO Group is looking for a New Technology Manager with strong expertise in experimental optics, broad technological knowledge, and proven leadership in driving innovation from concept to implementation.

In this role, you will lead a multidisciplinary team, oversee multiple research and development projects, and collaborate with internal and external partners to integrate emerging technologies into Novas innovation pipeline.

Responsibilities
What you will be doing:

Lead and mentor a multidisciplinary team of scientists and engineers to deliver high-impact technology projects.
Plan, prioritize, and oversee multiple R&D initiatives, managing the process from concept through feasibility and early development stages.
Identify emerging industry needs and scout, evaluate, and recommend disruptive technologies to address them.
Guide experimental design and execution in optical systems, ensuring robust testing, validation, and documentation practices.
Foster collaboration across internal teams and with external partners, including academia, industry, and suppliers.
Influence Novas long-term strategic direction by integrating novel technologies into the corporate roadmap.
Ensure effective project management, including budgeting, resource allocation, and milestone tracking to meet organizational objectives.