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Job Description Power the Future with Us! we are a global leader in high-performance smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of products installed in more than 133 countries. Our diverse product offering includes intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. With world-class engineering and a relentless focus on innovation, we are creating a world where clean, green energy from the sun powers our homes, businesses, and communities. We are looking for a Battery data Analyst to join our advanced energy Storage team. This is a hands-on, data -driven role where you will manage lab experiments, analyze results, and contribute to the development of cutting-edge battery management algorithms. If you are detail-oriented, analytical, and passionate about technology - we want to meet you Responsibilities:
* Plan, execute, and monitor battery experiments in the lab, ensuring accurate data collection and documentation.
* Analyze experimental data using Excel, MATLAB, or Python, applying statistical methods to extract insights.
* Collaborate with cross-functional teams including hardware, software, and system engineers to integrate algorithms into production systems.
* Troubleshoot issues, perform root cause analysis, and maintain structured knowledge for future reference.
* Document research findings, algorithm logic, and validation results in a clear and structured manner.
Country:
Israel
City:
Modiin

Help shape how AI data centers are powered. At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in more than 20 countries, and millions of installations worldwide. we are expanding its innovation into the fast-growing world of AI data -center power infrastructure. Building on our leadership in solar, Storage, and power electronics, we are creating a next-generation Power Ecosystem - integrating Solid-State Transformers (SST), Battery Energy Storage Systems (BESS as UPS), and advanced power-conversion platforms designed for the AI era. What you will be doing:
* You will develop high-quality code solutions for energy management devices and systems.
* You will design, develop and verify Embedded SW, both in low level and system level.
* You will work with adjacent teams such as hardware, integration, support and ATE
Country:
Israel
City:
Modiin

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

About the Role We are looking for a skilled and motivated Machine Learning & Signal Processing Scientist to join our team. In this role, you will work on processing and analyzing multi-source environmental and sensor data, including satellites, drones, and in-situ measurements. Your work will focus on extracting meaningful signals from noisy data, developing robust algorithms, and modeling physical phenomena using advanced statistical and Machine Learning techniques.

Responsibilities:
Key Responsibilities
* Process and analyze multi-source sensor data, with a strong focus on noise reduction and signal quality improvement
* Develop and apply time series models to characterize and predict signal behavior
* Design and implement Machine Learning and deep learning models (e.g., CNNs, RNNs) for spatial and temporal signal analysis
* Build algorithms for detection, classification, and quantification of physical phenomena
* Validate models against real-world data and ensure scientific robustness
* Communicate results clearly through visualizations, reports, and presentations to technical and non-technical stakeholders
* Collaborate closely with cross-functional teams to refine and deploy solutions Qualifications
* 3+ years of experience in signal processing and Machine Learning
* Strong expertise in:
* Noise filtering and signal enhancement
* Time series analysis and modeling
* Experience with Machine Learning and deep learning frameworks
* Familiarity with multi-source sensor data (satellite, drone, or in-situ measurements)
* Experience with remote sensing data, including multispectral and hyperspectral imagery
* Strong programming skills in Python (or equivalent)
* Excellent problem-solving skills and attention to detail
Advantage
* Experience with generative AI or advanced representation learning
* Advantage, use of AI/ML Agents (Claude Code) for enhancing productivity
* Background in geospatial analysis or environmental data Education MSc in Physics, Geophysics, Earth Sciences, or a related scientific field (PhD is an advantage)
Job type:
Hybrid