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We specialize in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if youre looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, youll find it all here come join us!
About the role:
The role is part of the knowledge and data management team at Engineering department part of the operation sector. The position represents global PLM system & Configuration control leader with data analysis capabilities. Lead & structure the data & knowledge management at global engineering located at Netanya site.
We are looking for a highly skilled and motivated PLM & Configuration control leader to take full ownership of our Product Lifecycle Management environment & tools, and drive excellence across our products data worldwide, workflows, and multi- system integrations. This is a key leading & technical role at the heart of Engineering, Product, Operations, and IS. Perfect for someone who thrives on structure, accuracy, and designing scalable systems that support a fast-growing technology organization. The position involves extensive communication interfaces, departments and functions in the company such as engineering, regulatory, logistic, procurement, quality, production (inhouse & CMOs), import & export, Legal, information systems, sub-contractors, RnD, Marketing, project managers.
Key Responsibilities PLM & data system
* Serve as the companys Team Center (by Siemens) PLM expert and system owner at Engineering
* Define, configure, and maintain all system infrastructure: Lifecycles, Workflows, Part types & attributes, User roles & privileges, Interfaceable attributes, processes.
* Lead continuous improvements system upgrades validation and automation.
* Provide PLM training, support, and guidance/User manuals to all relevant departments globally
* Translate business needs into PLM configurations and workflows.
* Lead cross-functional initiatives to improve product data quality and operational efficiency.
* Integration support SAP, Altium, SolidWorks/edge, Silicon expert, Assent
* Mass data migration (cleansing and loading) data analysis & reports structuring data management, Documentation & Configuration Control
* Own and maintain the end-to-end configuration control process across all product lines.
* Ensure product data accuracy, consistency, and compliance across the entire lifecycle.
* Establish and enforce best practices for BOM management, change control, documentation, statuses and revision processes.
*  data management, support & share for global stakeholders, 3rd party, vendors & CMOs.
* ECR, ECO, MCO management
* New & Legacy products documentation.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. The Supply Chain Analyst is responsible for analyzing and control KPI’s of the organization's supply chain processes, including procurement, logistics, and inventory management. Key Responsibilities
* Analyze supply chain data and processes to identify bottlenecks and efficiency opportunities
* Build reports, dashboards, and KPIs for performance monitoring and improvement
* Participate in cross-functional projects related to procurement, inventory management, and SC performance improvement

Dustphotonics develops cutting-edge technology in Silicon Photonics, revolutionizing connectivity and communication in data centres. Silicon photonics is becoming a standard technology used for high-performance systems, solving challenges of performance, integration, power, and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs, and other sensors. At Dustphotonics, we are looking to solve difficult problems, smartly and simply, by thinking out of the box, leveraging the knowledge and know-how of the team members, and working as a team to create Magic. Our Company culture is characterized by accountability for our ethics, and for being fair to every employee, customer, supplier, and partner. We believe we must work hard and have fun on the way to success. 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, V?·L, 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.

A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.

Responsibilities

As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:

Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Pecans Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

As part of our Automation team, you will play a key role in building and evolving a robust automation infrastructure that supports complex, scalable products.

You will help shape automation architecture, tooling, and best practices, work closely with R&D teams in an Agile environment, and directly influence the quality, reliability, and scalability of our platform.

This role combines hands-on automation development with system-level thinking.

In this role you will:
Design, develop, and maintain automation frameworks and test infrastructure
Write and maintain high-quality automated tests (API, integration, and UI)
Educate and collaborate with R&D teams on testing strategies, quality practices, and automation approaches
Shape automation architecture, design patterns, and development paradigms
Work closely with R&D teams daily in an Agile environment
Contribute to scalability, reliability, and quality improvements across the platform
Take ownership of automation solutions, from concept to production usage

were looking for skilled professionals to help shape our data platform and drive the next generation of trading technology.

In this role you will:
Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

Architect and optimize data workflows across AWS and on-premise environments.

Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

Help assess and implement frameworks such as DBT for data transformation and modeling.

Develop best practices and internal standards for data engineering, monitoring, and testing.

Contribute to the long-term vision and roadmap of Fin-on-exs data infrastructure.

As a Senior Frontend leaning Full-Stack Engineer, you will be a key technical contributor to our R&D team, working on user facing platforms and helping shape frontend architecture and development standards.

You will be joining a collaborative team working on a strategic product area that is approaching its first major delivery. This is just the beginning. New capabilities, improvements, and iterations will continue to evolve, and your technical decisions will have a lasting impact on the product.

If you are passionate about building high quality user interfaces, end to end ownership, and making real product impact, this role is for you.

In this role you will:
Take end to end ownership of frontend features, from design to production

Build and maintain complex, forms heavy user flows using React and Next.js

Collaborate closely with backend engineers working with Node.js

Read and integrate with existing C# systems as part of ongoing evolution

Drive code quality, structure, and documentation

Work hands on in the codebase and actively participate in technical decisions

looking for a talented Support Engineer to join our Customer Experience team.

Youll partner with internal teams and external stakeholders to troubleshoot technical issues, enhance documentation, and deliver outstanding support for our trading platforms and internal systems.

Within our B2B2C model, youll collaborate directly with brokers stack holders to support trading end clients, ensuring both our partners and their clients enjoy a seamless, high-quality experience.

This is a hands-on, technical support role in a fast-paced environment - perfect for someone who thrives on solving complex challenges, improving internal tools, and working across multiple departments.

In this role you will:
Troubleshoot and resolve complex technical issues across our products
Research, analyze, and escalate issues as needed
Provide top-quality support to B2B clients and internal users
Follow standard procedures for proper escalation of unresolved issues and other customers needs to the appropriate internal teams
Build and maintain strong customer relationships
Contribute to documentation and internal knowledge base articles
Stay up to date with company products and tools to support requests in the best possible way

We are looking for a versatile, creative and experienced Algorithms Researcher to join our elite research department. The position aims to explore and implement novel interdisciplinary solutions to complex challenges in the highly challenging environment of physical retail stores.
Address real-world problems for which no off the shelf solutions exist. Innovatively combine computer vision, classical ML, and signal processing.
Rely on huge data continuously harvested from stores empowered by our companys system.
Collaborate with fellow researchers specializing in an array of different disciplines.
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our companys system.
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.

our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate - one store at a time
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights - all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail- we're building it.
At our company, we're transforming the retail experience by bringing cutting-edge AI-powered technology to life. Imagine walking into a store, grabbing what you need, and walking out- no checkout lines, no scanning. We make that possible with our cashierless stores and advanced theft prevention systems. Our DevOps team is at the heart of this innovation, building the scalable, high-performance infrastructure that powers our global operations.
A day in the life
As a DevOps Software Engineer at our company, you won't just be maintaining systems; you'll be a key player in enabling the future of retail. Your work will directly impact how smoothly our stores operate worldwide. Imagine deploying software updates that instantly improve the shopping experience for thousands of customers. You'll be part of a collaborative team, working on challenging problems like:
Developing solutions that allow our company to efficiently and rapidly deploy to numerous stores globally. (We're constantly expanding!)
Ensuring our edge and cloud infrastructure is robust and reliable, handling the real-time data from our AI systems.
Troubleshooting complex issues across our distributed systems, working closely with software and operations teams.
Your contributions will directly support our company's growth and success, and you'll have the opportunity to see your work make a tangible impact..
Our tech stack includes (but not limited to): Go, Python, Rust, Terraform, Ansible, Helm, GCP, Azure, Kubernetes, ArgoCD, Octopus Deploy, Github Actions.