לוח משרות דרושים, לחיפוש זה נמצאו 33,528 משרות

We are looking for a Senior Electrical Engineer to join our Sustaining Engineering team and play a key role in supporting the ongoing evolution of our innovative cancer treatment systems.

In this role, you will lead electrical engineering activities across design transfer and sustaining engineering, ensuring our products successfully transition from development into manufacturing while maintaining the highest standards of quality, reliability, manufacturability, and regulatory compliance.
Working closely with R&D, Manufacturing, Quality, and external suppliers, you will combine hands-on engineering with technical leadership to drive robust product solutions throughout the product lifecycle.


This is an excellent opportunity for an experienced engineer who enjoys solving complex technical challenges, mentoring others, and collaborating across multidisciplinary teams to bring life-changing medical technologies to patients worldwide.

What you will do:
Lead electrical engineering activities for Design Transfer and Sustaining Engineering projects.
Provide technical leadership and mentorship to electrical engineers within the DT & Sustaining Engineering team.
Serve as the company's subject matter expert for electrical design, supporting Design Transfer and Production activities.
Lead the transfer of electrical designs from R&D into manufacturing, ensuring manufacturability, quality, and reliability.
Partner with R&D teams to provide Design for Manufacturing (DFM) recommendations early in the development process.
Maintain and improve PCB and electrical board designs to support product robustness, manufacturability, and cost-effectiveness.
Define electrical project requirements, timelines, and budgets.
Generate and maintain complete production documentation, including PCB documentation, PCBA files, BOMs, assembly drawings, and work instructions.
Work closely with suppliers and manufacturing subcontractors throughout the product lifecycle.
Perform hands-on electrical design, testing, validation, and troubleshooting.
Develop and execute electrical test procedures and generate technical documentation and test reports.
Lead electrical design reviews and provide technical guidance to cross-functional teams.

Required MI Software Principal Architect
Job Description Summary
As the Molecular Imaging (MI) Principal Architect, you will lead the software architectural vision and execution for MI PET and SPECT systems. This role is pivotal in shaping the software architecture that powers MI products, ensuring they are scalable, secure, and clinically impactful. You will collaborate across engineering, systems, and clinical teams to deliver differentiated solutions that advance diagnostic precision and operational efficiency in nuclear medicine.
Key Responsibilities:
Architecture Leadership & Execution:
Own and drive technical architecture discussions across MI software subsystems and products.
Define and evolve the architecture for MI software platforms, balancing legacy integration with modern design principles.
Develop and maintain architectural roadmaps aligned with MI product strategy and clinical needs.
Ensure software architectural decisions are translated into implementable designs and consistently realized across development teams.
Review and approve critical design decisions and system-level tradeoffs.
Participate in architecture governance and ensure compliance with design controls and regulatory standards (e.g., IEC 62304).
Technology Strategy & Innovation:
Evaluate and integrate emerging technologies into MI software solutions.
Drive software modernization efforts.
Collaborate with the Imaging Architect Office and MI systems teams to define the long-term technology runway for PET/SPECT modalities.
Lead the design, implementation, and governance of safe, compliant agentic AI use across the organizations software development life cycle.
Cross-Functional Collaboration:
Partner with MI systems engineering, clinical applications, and hardware teams to ensure cohesive system-level architecture.
Guide early-stage stakeholder engagement and support integration with legacy and future-state systems.
Influence and align global teams on architectural direction and technical standards.
Operational & Business Acumen:
Ensure architectural decisions support operational stability, serviceability, and lifecycle cost optimization.
Translate architectural strategies into measurable business and clinical outcomes, and communicate effectively with cross-functional stakeholders.
Support capital and operational planning through informed technology choices and risk assessments.
Mentorship & Talent Development:
Mentor staff and engineers within the MI software team, fostering architectural depth and leadership growth.
Contribute to the development of the technical career path and talent pipeline within the MI organization.

Required Staff Machine Learning Engineer
Job Description Summary
The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Job Description
The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities:
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.

Required Software Engineer
Job Description Summary
As a Software Engineer - PET Data Acquisition, you will join a highly specialized team developing the real-time software stack at the core of our PET/CT imaging systems.
Our software directly impacts image quality and system reliability, enabling clinicians worldwide to provide accurate diagnoses and life-saving care.
You will work on a distributed, high-performance C++ system running on Linux, responsible for configuring detector hardware, processing high-throughput data streams, and enabling seamless integration across the scanner ecosystem.
About the Team:
Our team develops the data acquisition platform powering our PET/CT scanners.
This system:
Configures and interfaces with detector hardware
Receives high-rate event streams via UDP
Performs real-time sorting and time-stamping of coincidence events
Manages acquisition state and persistence
Exposes control and monitoring APIs to clinical applications
The platform is a distributed, multi-process, multi-threaded C++ system running on Linux, designed for deterministic, high-performance operation under demanding workloads.
Key Responsibilities
Design and develop end-to-end data acquisition features, from low-level UDP capture and event processing through service layers and client APIs
Optimize and maintain performance-critical code paths, including:
Lock-free / low-contention data structures
Thread affinity and NUMA optimization
Zero-copy buffer management
Deterministic real-time execution
Enhance and maintain inter-process communication mechanisms, including shared memory, message queues, and service interfaces
Work with embedded persistence layers (SQL-based) for configuration, metadata, and runtime state
Collaborate closely with hardware, physics, and system teams to integrate new detector and system components
Develop unit and integration tests, and actively participate in code and design reviews
Troubleshoot complex cross-process issues using advanced debugging and profiling tools (e.g., gdb, perf, tcpdump, strace).

Required Verification Engineer
Job Description Summary
Responsible for running various verification activities on PET medical products that covers multi-disciplinary aspects from SW/HW, electronics, mechanics, physics, image quality and radiation - which is safety for users and monitored by a tag all the time.
Job Description:
Responsible for planning and implementing verification methodologies and ensuring proper fulfillment of system and sub-system requirements.
Responsible for reviewing various product designs, verifying its functionality in agile testing methods.
Responsible to determine the testing environments and tools.
Analyze and debug system failures and issue found during testing, while delivering detailed reports identifying these issues for further investigation.
Work closely with development teams
Non-hybrid, full-time position on site
Flexible on working hour, including 2-3 evening shifts (14:00-23:00) per week as needed
Working on global programs that required tight collaboration with global and Israel teams.

Required Algorithm Software Engineer- Medical Imaging
Job Description Summary
The Reconstruction Software Engineer is responsible for design and implementation of medical imaging tomographic reconstruction software, through definition of architecture, design, coding and performance optimization. The software is part of our Molecular Imaging scanner products.
Roles and Responsibilities:
Coding of algorithms and reconstruction tools in C++ / OpenCL / CUDA parallel environments.
Architecture and design of complex software subsystems.
Work with algorithms engineers and scientists to understand mathematical and physical algorithms, and design optimal solutions to implement the algorithms.
Work with other software teams to define interfaces between the Reconstruction environment and other software subsystems.
Optimize reconstruction engines to meet performance run-time requirements and usage of memory resources.
Write software requirements and design documents.
Design and execute software unit-tests.
Define and support Verification & Validation team in design and execution of system testing plans.
Support field investigations - upon need.
Data and configuration management and control of generated code.
Initiate and conduct technical reviews of work done.
Get to know trends and new technologies in the computing and software industry.