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As a Senior Software Engineer at our company, you will play an integral role within our MI Software Development department. Your scope of work will span across software design, implementation, and testing throughout the entire Software Development Life Cycle (SDLC). By collaborating closely with multidisciplinary teams, you will be instrumental in the development of innovative PET/CT and SPECT/CT medical devices.

Seeking a Senior Backend Infrastructure Engineer to build and operate the backend systems and infrastructure that support our security platform.
You'll work across cloud services, infrastructure, and data systems to help scale our services, pipelines, and databases.
In this role you will be:
Designing, building, and operating scalable backend services and the infrastructure that supports them.
Owning production systems end to end, with a focus on availability, performance, observability, and operational readiness.
Building and maintaining reliable ETL and data-processing pipelines for production workloads.
Working with PostgreSQL and ClickHouse to support data-intensive systems, including schema design, query performance, and data lifecycle needs.
Developing and operating event-driven processing with Kafka and integrating it with backend services.
Building and improving cloud infrastructure across AWS and GCP using Kubernetes and Infrastructure as Code.
Improving deployment and operations through CI/CD, monitoring, automation, and close collaboration with partner teams.

The Algorithm Software Engineer will contribute to the design, implementation, testing, and performance optimization of tomographic image reconstruction software for our company Molecular Imaging scanners.
This is an exciting opportunity for an outstanding early-career engineer to work at the intersection of software, algorithms, high-performance computing, and medical imaging. We are looking for exceptional graduates with strong technical foundations, intellectual curiosity, and the ability to solve complex problems.
No prior professional experience is required. Academic, research, personal, or internship projects demonstrating strong technical capabilities are highly valued.
Job Description
Roles and Responsibilities
Develop and implement reconstruction algorithms and software tools in C++ within parallel CPU/GPU environments.
Collaborate with algorithm engineers and scientists to understand mathematical and physical algorithms and translate them into robust software solutions.
Contribute to the architecture and design of complex software components.
Collaborate with software teams to define interfaces between the reconstruction environment and other software subsystems.
Analyze and optimize software performance, runtime, and memory usage.
Write software requirements, design documents, and technical specifications.
Design and execute software unit tests.
Support the Verification & Validation team in defining and executing system testing plans.
Support technical investigations and field-related issues as needed.
Participate in code reviews and technical reviews.
Maintain configuration management and control of generated code.
Continuously learn and apply new technologies in software engineering, algorithms, and high-performance computing.

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 company Molecular Imaging scanner products.
Job Description
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.

we are a leading manufacturer of medical imaging devices. our companys Point of Care Ultrasound Algorithm team is looking for an experienced AI Algorithm Developer to take ownership of challenging imaging and guidance problems.
You will develop algorithms that connect physical imaging processes, clinical needs, and product behavior. The role combines hands-on algorithm development with independent technical judgment, close collaboration across disciplines, and responsibility for delivering reliable results.
We are looking for someone who wants to understand why a solution works, recognize where it fails, and take responsibility for improving it.
Job Description
Responsibilities
Independently own algorithm workstreams, from understanding the problem and defining the technical approach through implementation, evaluation, and integration.
Translate clinical and product needs into clear algorithm requirements, measurable success criteria, and practical development plans.
Develop solutions combining deep learning, computer vision, image processing, and mathematical modeling, selecting methods appropriate to the problem.
Understand how imaging physics, acquisition geometry, artifacts, and system constraints affect the data and algorithm behavior.
Define data and annotation requirements, design reproducible experiments, investigate failure cases, and use findings to guide improvements.
Work with software, imaging, clinical, and product teams to resolve dependencies and balance accuracy, robustness, latency, and computational requirements.
Use generative AI tools thoughtfully to accelerate research, coding, testing, and analysis, while verifying outputs and retaining responsibility for technical decisions and results.
Deliver maintainable code and clear technical documentation supporting integration, verification, and regulatory activities.

The PM Leads a cross-functional/multidisciplinary team of Leaders and their respective project teams for PET programs in Haifa, to deliver project objectives., The program manager drives clarity by continuously defining and prioritizing work, defines the critical success factors/deliverables for the team.
Job Description
Duties include (but are not limited to):
1. Overall responsibility for program success providing engineering innovation within time, budgetary, quality and performance constraints and guidance to continuously deliver products directly supporting the overall business strategy.
2. Creates and ensures effective and efficient communication across business functions.
3. Applies leadership to motivate and energize the variety of cross-functional teams consisting of the program.
4. Works closely and transparently with Product Leadership and Business Leadership to align program with market dynamics and drive program direction.
5. Leads cross-functional and/or multi-disciplinary program planning, drives the team to generate trade-offs and identify and manage risks from the early planning phase, throughout the entire program execution.
6. Works as an equal partner with the program team to deliver results, understands and openly supports all functional goals.
7. Solves complex and ambiguous problems, leads the strategic and forward-thinking program execution including (but not limited to) concept discussion, program execution, rollout, training, pilot trials, clinical evaluations until successful deployment to serial production.
8. Works with customers to solicit input and feedback to meet quality and customer expectations.
9. Provides expert guidance and support to the program organization in various technical/functional aspects.
10. Creates and supports the stewardship of intellectual property with appropriate security of project documentation.

We are looking for a Senior software engineer to join our SaaS platform team.
In this role, you will develop distributed cloud-native applications with a focus on scalability, availability, and security.
You will take part in designing and building microservices, operators, and backend components running on GCP Cloud Run, Kubernetes, and Linode Kubernetes Engine (LKE).
As a Senior Software Engineer, you will be responsible for:
Developing cloud-native microservices and backend components in Golang
Building and maintaining SaaS infrastructure and services for scale and resiliency
Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators
Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation
Collaborating with other engineers, architects, and product managers to drive features end-to-end
Taking ownership of system design decisions and contribute to the long-term technical roadmap

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.
Job Description
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.

we are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions, AI development infrastructure, software integration frameworks, evaluation and verification capabilities, and scalable deployment mechanisms.
This role requires end-to-end ownership and a broad systems perspective, from understanding customer needs and product requirements to enabling successful product delivery.
If you're looking for a meaningful opportunity to make a real impact on healthcare and help improve patients' lives, we'd love to hear from you.
Job Description
Key Responsibilities
Team Leadership
Lead, mentor, and grow a team of Data Engineers and Software Engineers.
Define team priorities, roadmap, and execution plans aligned with business and product objectives.
Foster engineering excellence, accountability, collaboration, and continuous improvement.
Drive effective cross-functional collaboration with Algorithm, Clinical, Product, Verification, Regulatory, and Systems Engineering teams.
Establish technical standards, best practices, and development processes.
Data Infrastructure & Data Operations
Lead the design, development, and maintenance of enterprise-grade data infrastructure supporting AI development.
Own database architecture, data repositories, and scalable data management solutions.
Drive solutions for clinical data collection, anonymization, curation, annotation, versioning, traceability, and lifecycle management.
Develop and maintain integrations with internal company systems and data sources.
Ensure secure, compliant, and efficient data access mechanisms for global development teams.
Support regulatory submissions through reproducible and auditable data preparation processes.
Establish data governance standards, quality controls, and operational excellence practices.
AI Software Platform & Integration Infrastructure
Lead development of software frameworks enabling integration of AI technologies into multiple product platforms and operating environments.
Drive creation of reusable SDKs, plugins, APIs, and services that accelerate AI deployment across products.
Support integration of AI solutions into Linux and Windows-based medical device platforms.
Define and maintain AI integration architecture, deployment mechanisms, and compatibility layers.
Enable rapid prototyping and evaluation environments for algorithm development teams.

We are looking for some exceptional talent to join our Design and Engineering team as a System Platform Team Lead
Your Day to Day.:
Lead a multidisciplinary team of embedded SW, FPGA/logic, verification and software engineers
Own the system-level architecture and execution of various SoC-based camera processing and control platforms including Xilinx MPSoC
Oversee development across ARM A53/R5, Linux, bare metal, FPGA logic, HLS, micro-controllers, host software, interfaces and system integration
Lead implementation and validation of image-processing algorithms developed by the algorithm team
Drive technical planning, design reviews, integration, debugging, risk management and execution
Stay hands-on through selected complex or quality-critical tasks to maintain deep system understanding
Coordinate closely with algorithms, electronics, sensor and system teams

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 companys 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.
Job Description
About the Team
Our team develops the data acquisition platform powering our companys 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).

Responsibilities:
Duties include (but are not limited to):
Providing domain expertise to serve as the main integrator between all involved disciplines and functions to deliver the best quality product.
Working across functions and team boundaries to define, design, and implement the next generation of products, features and functionalities.
Working with customers, Marketing and field personnel to refine requirements which can be further developed by the engineering teams.
Developing methods to quantify subsystem interactions and their effects on image quality
Delivering and incorporating feedback results into new hardware, software and service specifications.
Decision making in cross-disciplinary and architectural aspects.
Apply expertise to help resolve urgent issues with current Molecular Imaging products.
Assist Program Manager in execution of projects within time and schedule.

We are looking for a Data Insights & Analytics Manager who will develop a deep understanding of data generated global installed base of connected medical devices, combine it with enterprise data, and translate it into insights and tools that create value for our customers and the business.
The role goes beyond reporting and dashboard creation.
We are looking for someone who is naturally curious, proactively explores data, identifies patterns and opportunities, and drives the organization to act on what the data reveals. Importantly, the role is expected to uncover broader customer, commercial, and business insights by connecting IoT data with enterprise and other relevant data sources - not only insights derived from device data itself.

Roles and Responsibilities
In this role, you will:
Build, design and implement CT image generation/reconstruction software - algorithms and applications.
Lead complex SW designs and related discussions
Collaborate with system engineers, algorithm developers and other software developers from across the globe to implement solutions that are aligned with and extend shared platforms and solutions for CT
Apply principles of SDLC and methodologies like Agile/Scrum, CI, requirements analysis, documentation practices, software and product security, scalability, refactoring and testing techniques
Understand, assess and optimize algorithms and applications performance
Take part in developing a common imaging platform for all our company imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our company 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.