לוח משרות דרושים בחיפה, לחיפוש זה נמצאו 2,667 משרות

We are looking for a Physicist to join our Computed Tomography (CT) R&D team in Haifa, part of the DMS organization. In this role, you will contribute to the research, development, optimization, and validation of next‑generation detector technologies that power advanced CT systems. This position offers the opportunity to work at the intersection of physics, engineering, and medical imaging driving innovation that directly impacts product performance and patient outcomes.
Your role:
Be actively involved in the development and evaluation of CT detector concepts and components.
Model and characterize key detector performance parameters, including spatial resolution, noise, dynamic range, spectral response, stability, and dose efficiency.
Design and execute experiments to assess detector behavior under laboratory and system-level operating conditions.
Analyze imaging data and detector signals using quantitative methods to identify performance limitations and improvement opportunities.
Collaborate with hardware, electronics, software, reconstruction, systems, and manufacturing teams to translate physics requirements into technical specifictions.
Support prototype integration, verification testing, root-cause analysis, and performance troubleshooting.
Support Service and Production detection related investigations.
Develop test methods, technical reports, verification protocols, and documentation for internal and regulatory use.
Stay current with scientific literature, emerging detector technologies, and industry trends.

we are looking for a Product Quality Engineer.
Job Responsibilities:
Facilitates operations performance monitoring, reporting, improvement and development, facilitates improvement programs in factory, and supports analytical testing and Supplier Quality Engineering (SQE), Supplier Quality Assurance (SQA) and Purchasing.
Conducts assessment of impact to Process Failure Mode and Effects Analysis (PFMEA) and associated controls in relation to design changes and assists in Manufacturing Process Development and Design Transfer activities.
Leads analysis of defects for determining dispositions of non-conformances, drives management of Non-Conformances (NC) and Quality Notifications (QN) and facilitates implementation of effective Corrective and Preventive Actions (CAPA) actions.
Handles non conformance events and investigations in the factory and guides material review board activities for non-conformance disposition management.
Facilitates timely quality engineering and quality assurance tasks, ensures manufacturing quality systems are maintained, handles single or complex process validation and process improvement activities, and helps in completion of New Product Introduction (NPI) and product transfers in factory.
Possesses working knowledge of generic products/services and Quality Engineering and Continuous Improvement techniques, follows processes and operational policies in selecting methods for obtaining solutions, and frequently interacts with supervisors and functional peer groups to gain cooperation of others.
Acts as an advisor to subordinates to meet schedules and/or solve technical problems, develops and administers schedules and performance requirements, and may have budget responsibilities.
Cultivates effective relationships, demonstrating full understanding of area of specialization, demonstrates good working relationships with suppliers, and previous experience of participation in several New Product Introductions (NPIs).
Leads validation protocols, facilitates production builds to support validation activities, analyzes data for reports, process improvement initiatives, and validation activities.
Utilizes advanced statistical analysis methods to interpret complex data trends, resolve a wide range of moderate complexity requests, and provide strategic insights for continuous enhancement of quality standards and process efficiency.
Discusses detailed, strategic quality metrics and reports with stakeholders, highlighting significant achievements, emerging trends, and actionable insights to drive advanced improvement initiatives and ensure regulatory compliance.
Delivers specialized advanced training programs on cutting-edge quality standards, advanced methodologies, and best practices, fostering alignment across functions and advancing excellence in operational practices at an expert proficiency level.
Cultivates effective relationships with internal/external partners and provides influence over projects and peer groups, demonstrating full understanding of area of specialization.

we are looking for a Product industrialization engineer.
Job Responsibilities:
Ensures the implementation of process development activities specifically tailored for mid complexity projects to streamline procedures, enhance efficiencies, and ensure optimal outcomes within the defined project scope.
Introduces Design for Lean Manufacturing (DFLM) methodologies into Product Development Lifecycle Management (PDLM) processes, ensuring thorough integration of designs, particularly focusing on mid-complexity projects, to enhance efficiency and streamline production workflows.
Aligns process and equipment capabilities with specified criteria, incorporating process requirements from product specifications provided by I&D and manufacturing requirements to ensure seamless integration and compliance.
Leads timely release of Manufacturing Bill of Materials (BOM) and routes Master data, facilitating seamless integration of product specifications and ensuring efficient execution of manufacturing processes.
Oversees the implementation of complex processes and standards and ensures strict adherence to safety, regulatory, and environmental requirements, alongside local laws, company general business principles, and other relevant policies.
Addresses diverse complex product industrialization challenges through innovative problem-solving, exercising sound judgment in selecting methods and techniques to devise effective solutions tailored to specific circumstances and requirements.
Fosters productive relationships, disseminates expertise, and exerts influence within product industrialization project teams and peer groups, showcasing comprehensive mastery of the specialized domain.
Initiates design changes within factories and at supplier sites, guided by PDLM-managed projects, ensuring seamless integration and adherence to standards and timelines throughout the process.
Adheres to the relevant processes governing product introductions, qualifications, and releases specifically tailored for mid complexity projects.
Applies lean manufacturing principles and implements continuous improvement methodologies to enhance productivity and optimize outcomes within the production environment.

We are looking for an experienced Board Design Engineer to support the design and development of complex mixed-signal and high-speed digital boards for advanced medical systems. You will join our multidisciplinary team in CT organization.
Your role :
Design and develop multi-layer high-speed PCBs and define layout constraints
Perform component selection and schematic design
Design power management circuits (including DC-DC converters and power distribution)
Design and support analog circuits and boards
Support EMC/EMI tests
Lead board bring-up, validation, and lab debugging. Troubleshoot system-level HW/FW issues
Support high-speed interfaces such as DDR4/DDR5, PCIe, and Ethernet
Support Install Base (IB) activities , field investigations, and NPI activities
Support Lifecycle Management (LCM) tasks, including EOL handling
Work with PCBA vendors on production, manufacturing issues, and yield improvements
Search for component alternatives, test and approve replacements
Work with PLM (Product lifecycle Management) system and support ECO creation and release

we are looking for a Senior R&D Process Development Engineer.
As a Senior R&D Process Development Engineer , you will play a key role in a multidisciplinary engineering team driving the design, development, and launch of next‑generation manufacturing platforms that enable future CT detector technologies. You will work closely with design and hardware teams to translate breakthrough concepts into scalable, automated production processes that deliver reliability, precision, and manufacturability at scale.
Your role:
Team Collaboration: Work as a key member of the R&D process team to develop, test, and implement automated assembly solutions for future products.
Process Development: design and optimization of new automatic assembly lines, specifically for high-precision CT detector modules.
Hands-on Implementation: Support the integration and fine-tuning of Die Attach systems and Epoxy/solder Dispensing processes within the R&D lab and pilot lines.
DFM Support: Participate in design reviews to provide DFM (Design for Manufacturing) insights, ensuring that new detector designs are optimized for assembly.
Technology Evaluation: Assist in benchmarking and testing new manufacturing technologies and equipment to determine their feasibility for future product lines.
Validation & Documentation: Execute DOEs (Design of Experiments) and document process characterization as part of the teams effort to meet medical regulatory standards.

You are a Software Data Engineer with deep experience building data-intensive systems, not a traditional ETL or BI-focused Data Engineer. In this role, you will design and build production-grade data services, platforms, and pipelines that power DIH and our AI-driven products. You will combine strong software engineering fundamentals with modern data engineering practices, with a focus on clean architecture, reliability, scalability, observability, and testing.

As a Software Data Engineer, Data Platform, you will:
Build and evolve Python-based services and pipelines that ingest raw industrial events, store them reliably, and expose clean, well-modeled tables and APIs for downstream consumers, including Digital Twin, Smart Canvas, AI agents, and analytics.
Design systems that handle duplicates, invalid data, late-arriving events, and reprocessing in a principled, incremental, and reproducible manner.
Collaborate with platform, machine learning, and product teams across Israel and globally to transform complex data challenges into robust, observable, and scalable software solutions.

We are looking for a MLOps Engineer with strong production engineering experience building and operating scalable ML and AI systems.

This is a software-first MLOps platform role focused on production reliability, ML lifecycle management, large-scale training infrastructure, operational AI systems, and reusable platform capabilities.

You will help build and scale the production platform behind our Industrial AI Workforce, enabling teams across the company to develop, evaluate, deploy, and operate ML and AI systems consistently and safely.

A Day In Your Life
Design and evolve production MLOps capabilities across the full ML lifecycle including datasets, features, models, evaluations, deployments, monitoring, retraining, and feedback signals.
Build systems for experiment tracking, artifact management, reproducibility, versioning, lineage, promotion workflows, and production readiness.
Develop reusable platform tooling, golden paths, and engineering standards that improve consistency and delivery velocity across teams.
Build operational infrastructure for LLM and agentic systems including prompts, tools, traces, evaluations, observability, safety boundaries, and production monitoring.
Design evaluation and monitoring frameworks for AI systems including answer quality, latency, grounding, reliability, and operational regressions.
Build and optimize large-scale training pipelines supporting heterogeneous data sources and scalable compute patterns.
Write clean, modular, production-grade Python services and platform libraries.
Drive engineering quality through automated testing, CI/CD, observability, deployment standards, and operational best practices.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.

A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.

As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining our AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.

A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining our AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.

A Day In Your Life
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

You will join the Deployment Platform team, which puts our technology directly in the hands of customers, field technicians, and partners. As an AI-Native mobile engineer, your primary development framework is Flutter (with native iOS and Android used when needed), building the mobile application central to our field deployment. You are also comfortable across the full stack to ensure end-to-end feature delivery. Most importantly, you will shape the next generation of agentic installation experiences that define how industrial AI reaches the factory floor. This is a high-impact role at the intersection of mobile, IoT, and AI.

A Day In Your Life
Design, build, and maintain high-quality, cross-platform mobile applications for iOS and Android using the core Flutter/Dart stack.
Lead the design and shipment of agentic-first workflows for guided installation, leveraging LLMs (Azure OpenAI, Gemini) to assist technicians and automate decision-making in the field.
Implement complex IoT/Hardware integration features, including NFC provisioning, AR field tools, and indoor positioning/navigation.
Contribute to backend and frontend services/APIs to ensure seamless, end-to-end feature delivery.
Architect and maintain a scalable, modular monorepo, ensuring robustness through strong state management (BLoC/RxDart) and comprehensive test coverage.
Collaborate with product and design teams to deliver exceptional UI/UX, including adaptive and RTL-aware layouts.

As our AI Applied Researcher, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.

A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

As our AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.

A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.