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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 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 a hands-on Program Manager (PMO) to lead complex customer programs in a fast-growing, multidisciplinary deep-tech environment.
This role drives execution across customers, R&D and operations teams, owning programs from early design engagement through data centres qualification and production ramp - directly enabling customer adoption, predictable delivery, and revenue growth.
What Were Looking For:
Strong ownership and execution mindset
Structured, proactive and business-oriented
Excellent communication across technical and commercial stakeholders
Thrives in fast-paced startup environments
Responsibilities
Own end-to-end execution of customer programs - from design-in through DC qualification and production ramp
Drive on-time delivery of milestones and customer commitments in complex technical environments
Act as the execution focal point between customers, R&D and operations teams
Build and scale multi-customer execution frameworks that support company growth
Proactively identify risks, remove blockers, and minimize escalations across programs
Ensure high-quality delivery while protecting engineering focus.

We are looking for a Full Time Lab Technician to join our R&D team.
This is a full-time position with
two evening shifts per week are required from 17:30-23:30
Responsibilities
Identify and work with laboratory equipment, tools, supplies, and materials.
Maintain the lab area and equipment in a safe and organized manner.
Perform basic lab equipment maintenance as scheduled and in accordance with lab/equipment manual specifications.
Perform multiple concurrent tasks at several different equipment stations to maintain acceptable job flow.
Read, comprehend, and follow technical manuals and protocols.
Fill out all assigned reporting forms in a timely manner.
Read and interpret prescription specifications.

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.

We are looking for a hands-on Facilities & Lab Manager to take full ownership of our office and laboratory environments.
This role reports directly to the VP Operations.
Responsibilities
Own day-to-day operations of office & labs
Maintain, repair, and install infrastructure & equipment (hands-on / vendors)
Ensure a clean, organized, and fully functional work environment
Keep labs efficient and ready for fast-paced R&D work
Perform preventative maintenance on lab equipment
Work closely with R&D/engineering on experiments and new tools
Ensure labs support both development and production-scale activities
Manage external vendors and ongoing facility services
Own safety procedures and compliance (including storage & disposal of materials)
Responsible for company security
Lead renovation and construction projects.

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