לוח משרות דרושים הייטק תוכנה באור יהודה, לחיפוש זה נמצאו 24 משרות

We are looking for an Embedded Systems R&D Engineer to join the CTO Office and lead early-stage development of Embedded computing and electronic systems. The role combines hands-on engineering with technical ownership, from feasibility and system definition through prototyping, integration, and external development activities. You will evaluate new technologies, define technical requirements, work with suppliers, and collaborate closely with engineering and integration teams on development, testing, and system integration.
Responsibilities:

* Lead early-stage R&D of Embedded computing and electronic systems, including boards, sensors, cameras, and communication systems.
* Define requirements, architectures, interfaces, and initial design concepts.
* Perform feasibility studies, trade-offs, PoCs, prototyping, integration, testing, and debugging.
* Develop and integrate Embedded platforms and custom boards, including Jetson/GPU-based solutions.
* Evaluate components, suppliers, and design houses, and technically lead external development through reviews, technical decisions, and verification.
* Prepare technical specifications, SOWs, and engineering documentation.
Advantages:

* Experience with GPU-based Embedded platforms and custom carrier boards.
* Experience with cameras, image acquisition, or high-speed interfaces.
* Familiarity with FPGA, SDR, RF, or communication systems.
* Experience in aerospace, robotics, or other high-reliability systems.

We are looking for an Algorithms Developer to join the CTO Office and develop and evaluate new AI and algorithmic capabilities as part of early-stage R&D. The role combines hands-on algorithm development, rapid prototyping, and technical evaluation, from exploring new ideas and testing solutions to defining requirements for further development. Projects span areas such as image processing, computer vision, edge AI, LLM-based applications, and emerging technologies.
Responsibilities:

* Develop AI and algorithmic solutions for early-stage R&D projects.
* Translate project needs into algorithmic concepts, requirements, and technical solutions.
* Build and TEST prototypes to evaluate feasibility and performance.
* Define performance, interfaces, and computing requirements.
* Optimize solutions for compute, memory, power, and latency constraints.
* Evaluate relevant models, frameworks, hardware platforms, and emerging technologies.
* Translate R&D results into clear requirements and recommendations for development teams.
Advantages:

* Experience deploying AI or algorithms on edge or Embedded platforms.
* Experience with NVIDIA, CUDA, TensorRT, ONNX, or similar technologies.
* Experience optimizing algorithms for compute, memory, power, or latency.
* Experience with satellite imagery, remote sensing, geospatial applications, mapping, or photogrammetry.
* Experience with LLM-based applications and modern AI frameworks.
* Experience in R&D, advanced development, or deep-tech environments.

We are seeking a motivated and hands-on Technical Trainer or Customer Enablement Specialist with experience delivering customer and partner training in SaaS environments. The ideal candidate is passionate about helping users adopt new technologies, creating effective learning materials, and delivering engaging training experiences.
In this role, you will own the end-to-end training ecosystem for our Meeting Insights, including course development, training delivery, certification programs, and learning resources. You will work cross-functionally with Product, Customer Success, R&D, and Business teams at HQ and globally to ensure customers, partners, and internal stakeholders are fully equipped to succeed with our platform.
What You Will Gain:
Hands-on experience with cutting-edge Conversational AI technologies in real enterprise environments
A key role in supporting customer adoption and success through effective training and enablement programs.
Deep exposure to both technical and business domains through close collaboration with Product, R&D, and customer-facing teams
Opportunities to grow your expertise in AI, SaaS, and customer enablement, with strong potential for career advancement
The ability to influence product adoption and customer success at scale
Contribution to an award-winning solution, recognized as the Best Use of AI at the UC Awards 2024
Your mission:
Own and execute the design, development, and delivery of training programs, courses, and certification tracks for Meeting Insights.
Build and maintain a comprehensive knowledge base for internal teams (sales engineers, support, customer success), partners, and customers
Collaborate with Professional Services, partners, and customers worldwide to identify and address training needs
Work closely with Product Management, Technical Writing, and Marketing to develop high-quality onboarding and training materials
Design and deliver hands-on, technical training sessions (virtual and/or in-person)
Continuously improve training effectiveness באמצעות feedback, analytics, and evolving product capabilities

We are seeking an experienced NPI & Configuration Control Engineer to lead and manage New Product Introduction (NPI), product configuration control, and release management activities across the company's product portfolio. This role is responsible for ensuring the accuracy and integrity of product data, hardware and software releases, BOM management, and coordination with global offices and manufacturing subcontractors. The successful candidate will play a key role in supporting product lifecycle management, manufacturing readiness, and continuous process improvement.
Responsibilities:
Lead and manage NPI (New Product Introduction) and Configuration Control activities for all company products.
Own and maintain product configuration management processes, ensuring compliance with company standards and procedures.
Manage software and hardware release activities for manufacturing partners, including Flex China and other subcontractors.
Ensure subcontractors maintain the required technical knowledge and capability to support production and engineering requirements.
Deliver training, guidance, and ongoing support to global company offices on NPI, release management, and configuration control processes.
Maintain the accuracy and integrity of Hardware and Software Bills of Materials (BOMs) within Agile PLM.
Review and verify the accuracy of translated engineering and technical documentation from English to Chinese.
Collaborate closely with R&D, Operations, Manufacturing, Quality, and Supply Chain teams to ensure successful product releases and lifecycle management.
Support continuous improvement initiatives related to product data management, change control, and release processes.

We are looking for a BI & Data Solution Analyst to lead the organization's data transformation journey. Our Data & BI team is in the midst of a technological transformation, moving to a modern data platform based on Microsoft Fabric, Snowflake, dbt, and Power BI, enriched with AI and Copilot capabilities. We are seeking a data professional with strong business acumen who will lead the strategic migration from QlikView to Power BI and help shape the organization's analytics solutions for years to come.
Lead end-to-end Data & BI solutions, from business requirements gathering through development, implementation, and adoption.
Closely collaborate with business stakeholders and end-users, building advanced data models, and enabling data-driven decision-making.

we are looking for a Senior Machine Learning Engineer.
As a Senior Machine Learning Engineer at MyHeritage, you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.
What youll do:
Design, develop, and deploy machine learning models for various business needs.
Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
Work with large datasets to preprocess, clean, and extract meaningful features for model training.
Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
Monitor model performance and fine-tune for optimization.
Stay updated with the latest research and advancements in machine learning and AI.