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Power the Future with us! We're a global leader in smart energy technology, with over 3,000 employees, offices in 30 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. We offer 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. We are seeking a highly skilled and experienced Automated TEST Equipment Engineer to join our dynamic team. You will be responsible for the design, development, and implementation of automated TEST systems for our cutting-edge products. This role requires a strong background in hardware engineering, as well as experience in TEST automation and system integration. Responsibilities:
* Design and develop hardware solutions for automated TEST systems, including TEST fixtures, load boards, and interface circuits.
* Perform hardware debugging, troubleshooting, mass production support and optimization to ensure reliable and efficient TEST systems.
* Develop and maintain hardware documentation, including schematics, layouts, and mechanical designs.
* Design and develop software for TEST automation, including TEST sequencing, data acquisition, and result analysis.
* Collaborate with cross-functional teams, including hardware, software, engineering, quality, and manufacturing.
* Stay up to date with the latest trends and technologies in automated testing procedures.
Country:
Israel
City:
Herzliya

Required Silicon Engineering Manager
Modiin, Israel Full-time
Responsibilities
Perform silicon process and chip-level data analysis, establishing correlation between chip and wafer performance.
Lead process debug and yield loss analysis at chip/wafer level, driving root cause investigations and corrective actions.
Manage engineering approval forum to release production material.
Collaborate closely with vendors to implement new product tests and resolve technical/process issues.
Act as a key interface between design, testing, and production teams, ensuring alignment across the product lifecycle
Oversee and coordinate the transfer of data related to silicon design, testing, fabrication, and characterization between Production and R&D departments.
Develop and implement data management strategies to ensure data accuracy, security and accessibility.
Maintain proper documentation of data transfer protocols, version control, and data integrity checks.
Support data analysis efforts to improve silicon performance, yield, and quality.
Ensure compliance with company policies and industry standards related to data security and confidentiality.

We're looking for a passionate React JS Developer to join our frontend team and help create intuitive interfaces for our cutting-edge AI technology. The ideal candidate will be an experienced JavaScript developer with leadership potential, ready to take their career to the next level.

### **What You'll Do:**

- Ensure the technical feasibility of UI/UX designs
- Implement smart and elegant components to solve product challenges
- Build reusable code and libraries for future use
- Own your work as a team member and colleague
- Be proactive in designing solutions with the product and data teams
- Optimize our web applications for maximum speed

We are looking for a Photonics Design Engineer with proven, hands-on experience designing, simulating, and measuring active silicon-photonics components (e.g., modulators, phase shifters, photodiodes).
Responsibilities
Design and model active Silicon Photonics devices; own specs, compact models, and layout intent.
Drive design for manufacturability: analyze performance across
process/voltage/temperature corners and wafer variability; run Monte-Carlo/tolerance studies.
Build scripted, parametric simulation flows (sweeps/optimization) and extract figures of merit (EO S21, VπL, responsivity, dark current, bandwidth, IL).
Plan and execute lab/wafer-level measurements; close the model-to-silicon loop by comparing data to simulations and updating models.
Collaborate with process, test, and packaging teams on masks, runsets, and DFT/DFM reviews.

We are seeking an experienced and motivated Device & Test Engineer.to oversee production activities at a contract manufacturer site in China.
This role involves supervising the technical and operational aspects of outsourced manufacturing to ensure compliance with our companys standards in quality, efficiency, and process consistency. The successful candidate will act as the main technical liaison between our internal teams and the external manufacturing partner.
This position will require short term assignments to China for periods of one week (25% travling) at a time, every month.
Responsibilities
Manage all product testing activities at the contract manufacturer to ensure compliance with specifications while meeting yield, quality, and capacity targets.
Troubleshoot, debug, and investigate failures in test systems and test processes.
Monitor production KPIs, identify process deviations, and drive continuous improvement initiatives.
Lead the introduction, installation, and qualification of new test solutions.
Serve as the primary technical interface between the contract manufacturer and the RND team.

Take part in developing the worlds leading ecosystem-security solution
Address security, scalability, and performance challenges
Work closely with other team members, provide technical leadership
End-to-end ownership of features, from design through development and deployment
Take part in uncovering and resolving critical vulnerabilities for some of the biggest companies out there

we are seeking a Director of AI & Agentic Systems to lead the companys core intelligence capabilities, which form the foundation of competitive advantage and proprietary IP. This is a senior, vision-setting leadership role responsible for guiding the evolution of AI capabilities from DSP, signal processing and machine learning to agentic and autonomous decision systems deployed in real-world operational environments.
In this role, you will set the long-term direction of AI platform and lead multidisciplinary teams across Signal Processing, Machine Learning, and GenAI and Agentic technologies. You will ensure raw sensor data is transformed into trusted insights and actions, influence architectural decisions across edge and cloud environments, and drive the next generation of industrial AI capabilities across the company.

We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.



Responsibilities:

Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

We are looking for a passionate and skilled Senior DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.

As a Senior DevOps Engineer , you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.



Responsibilities:

Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
Automate infrastructure provisioning using tools like Terraform/Terragrunt, and leveraging GitOps methodologies.
Implement and maintain CI/CD pipelines to support multiple development teams.
Establish best practices for observability, logging, and alerting using technologies such as Datadog, Coralogix, OpenTelemetry, and Prometheus/Grafana.
Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
Manage and operate message brokers (RabbitMQ), databases (MySQL, Redis), at scale.
Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.

Were looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering  algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.
we are a mobile marketing and audience platform. we empower the mobile app ecosystem, simplifying mobile marketing, audience building, and mobile monetization. With direct integration into over 500,000 mobile apps, our platform processes enormous volumes of first-party data to drive intelligent, real-time decisions that fuel growth for our partners.
Youll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic - all while maintaining extreme performance and reliability requirements.
Job Description:
Own and lead the design and development of low-latency Algo inference services handling billions of requests per day
Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs
Collaborate closely with DS to deploy models seamlessly and reliably in production
Design systems for model versioning, shadowing, and A/B testing at runtime
Ensure high availability, scalability, and observability of production systems
Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques
Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:

Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We are seeking a talented Full Stack Engineer to join our team and help build the Opik product! Opik is an open-source platform designed to streamline the entire lifecycle of LLM applications, helping developers evaluate, test, monitor, and optimize their models and agentic systes.
Ready to shape the future of LLM development? Join us in building the next generation of AI observability tools!
Responsibilities:
Build & ship features at high pace in a fast-moving AI development environment
Develop and maintain comprehensive observability tools for LLM applications and RAG systems
Create intuitive user interfaces for LLM tracing, evaluation dashboards, and production monitoring
Build robust APIs and backend services to support real-time LLM application monitoring
Collaborate with AI researchers and ML engineers to implement cutting-edge evaluation methodologies
Contribute to both frontend (React/TypeScript) and backend (Java) components
Design and implement automated evaluation systems and "LLM as a Judge" capabilities
Work on integrations with popular LLM frameworks and libraries
Participate in open-source community engagement and technical documentation

About Us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. Changing global trade starts with shipping great code. Boxes don’t move before those bytes move.
About the Role We’re looking for a Mid-Level Full Stack Engineer who gets excited by solving complex problems and building systems that directly impact millions - make that billions - of dollars in global trade. Our platform manages over two billion pricing points, hundreds of thousands of quotes, and millions of location codes. This is not just UI polish or backend plumbing - it’s building reliable, scalable systems end-to-end. You’ll work across frontend and backend layers while leveraging AI-powered development workflows - especially vibe coding - to move fast, iterate intelligently, and ship high-quality features. Speed matters, but reliability matters more. That’s why you’ll back everything up with strong automated testing and clean engineering practices. Come ready for a challenge - and don’t be fooled by container ships; this is rocket-science technology.
What You’ll Do
* Design and build end-to-end features across frontend and backend services.
* Develop modern, scalable UI/UX features using best practices and clean architecture.
* Build robust backend APIs and services that power high-scale, high-availability systems.
* Use AI-assisted development (vibe coding) to accelerate feature delivery and reduce iteration cycles.
* Validate AI-generated and AI-assisted code with comprehensive automated tests (unit, integration, and end-to-end).
* Contribute throughout the development and deployment lifecycle across the R&D organization.
* Collaborate with product managers, designers, backend, and DevOps teams to deliver business-critical capabilities.
* Troubleshoot and solve complex cross-stack issues in a large-scale codebase.
* Continuously improve development workflows, introducing mechanisms and best practices to prevent recurring issues.
* Help evolve AI-driven engineering standards within the team.



Hybrid:
Yes

Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits