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We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.

What Youll Do:

Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

Required Instructional Designer & LMS Admin
You will join our Information Systems domain as part of the LMS team. The team is responsible for providing ongoing system administration and support, gathering business requirements and designing learning solutions and implementing onboarding workspace and training libraries for units and more.
In this role, you will identify knowledge gaps, develop, implement, and manage training programs for various internal business customers, including the Information Systems domain and R&D units. You will also collaborate with the Learning and Development HR unit to create learning materials and deliver support to key stakeholder.
What will your job look like:
Developing and delivering learning materials and training programs, including technological/technical training materials.
Supporting and advising users and workspace managers on best practices within our Learning Management System (LMS).
Executing implementations and designs in the learning system.
Managing and operating the ticketing system to provide service to internal customers
Our hybrid policy: 4 days in the office. 3 days in Jerusalem, 1 day at another site (Petah Tikva/ Tel Aviv /Ramat Gan), and 1 day remote.

A world leader in driver assistant systems and autonomous vehicles, is looking for talented silicon validation engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like:
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.