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We are looking for a Windows platform expert with deep, hands-on scripting skills (PowerShell preferred) to own the security hardening, imaging, and deployment automation of the Windows environment underlying our FFRangio system.
You'll work at the intersection of low-level Windows internals (boot security, disk encryption, image management) and modern Windows virtualization and DevOps practices (CI/CD pipelines), helping us build a secure, locked down, and reliably reproducible Windows environment for a regulated medical device product.
You should be comfortable going deep - from BIOS settings and TPM chains up through image-building and pipeline automation - and who treats scripting as the primary tool for making security and deployment repeatable, auditable, and reliable, in service of a real clinical product used in the Cath lab.

Responsibilities may include the following and other duties may be assigned:
Design, implement, and maintain PowerShell-based automation for system configuration, hardening, and deployment of FFRangio Windows workstations.
Define and enforce BIOS/UEFI security settings and TPM-based trust chains (Secure Boot, measured boot, TPM attestation).
Implement and manage BitLocker and other Windows encryption mechanisms, including key management and recovery strategies.
Build and maintain Windows hardening baselines using Group Policy, AppLocker, custom Shell/UI restrictions, and Kiosk (Assigned Access) mode suited to a clinical, cath-lab environment.
Manage user/account permission models and least-privilege access schemes across managed devices.
Create, manipulate, and maintain VHD/VHDX-based images for deployment, recovery, and testing workflows.
Build and maintain CI/CD pipelines in Azure DevOps for automated build, test, and deployment of Windows images and configurations.
Collaborate with software, QA, and regulatory/quality teams to ensure hardening and deployment practices.
Document configurations, scripts, and processes for reproducibility and audit purposes, consistent with medical device quality system requirements.

We are looking for a Software Engineer to join our team building next-generation software for interventional cardiology. As a software engineer, you will be responsible for designing, writing, debugging, testing, and maintaining complex applications that process and visualize angiographic imaging in real time within the Cath lab. You will work closely with algorithm developers, software test and automation engineers, biomedical engineers, and upstream product specialists in an agile environment to refine and enhance existing applications, as well as develop new, innovative ones. You will formulate, deliver, and/or manage assigned projects and works with other stakeholders to achieve desired results. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies - from design to implementation - while adhering to policies and using specialized knowledge and skills.

Responsibilities may include the following and other duties may be assigned:
Design, develop, test, debug, and implement operating system components, software tools, and utilities.
Determine systems software design requirements.
Ensure that system improvements are successfully implemented and monitored to increase efficiency.
Generate systems software engineering policies, standards, and procedures.
May work across a variety of software lifecycle activities as determined by program needs.

We are looking for a hands-on Computer Vision & AI Algorithm Engineer to develop advanced imaging algorithms for a cutting-edge medical device. The role spans the full spectrum of algorithm development - from creating new solutions to improving, maintaining, validating, and integrating them into the product. The ideal candidate is curious, pragmatic, and comfortable moving between deep learning, classical computer vision, data analysis, debugging, validation, and product integration as needed. They measure success by seeing algorithms work reliably in a real-world product and enjoy collaborating across disciplines to solve the challenges that move the product forward.

Responsibilities may include the following and other duties may be assigned:
Design, develop, maintain, and continuously improve AI, computer vision and image processing algorithms for a medical imaging product.
Own the full lifecycle of algorithm development, from concept and data definition through implementation, validation, product integration, and long-term maintenance.
Use both classical computer vision methods and machine/deep learning methods to come up with solutions for various problems in the domains of image classification, segmentation and 3D modeling.
Collaborate with SW developers, biomedical engineers, product specialists and other algorithms developers to refine and enhance existing applications.
Maintain and improve algorithm robustness, performance and reliability in production environments.
Identify opportunities for innovation and design novel algorithms to address complex technical challenges.
Stay at the forefront of relevant academic research by reviewing the latest papers and evaluating their potential impact on the companys algorithmic stack.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With our Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.

Responsibilities may include the following and other duties may be assigned:
Designing and executing SW verification activities: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Automation and continuous improvement: Contribute to the development and expansion of automated testing solutions. Continuously look for ways to improve test efficiency, coverage, and reliability by adopting new tools, scripting approaches, and creative testing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

We are looking for a Software QA Automation Engineer to contribute across Scrum teams and help ensure software quality, reliability, and safety throughout the development lifecycle.

This is an on-site, full-time position based in Kefar Sava, Israel, reporting directly to the Software QA Team Leader. The engineer will own both manual and automated testing, work closely with software development teams, contribute to Continuous Integration and Continuous Delivery (CI/CD), and help embed quality from day one.
Responsibilities may include the following and other duties may be assigned:
Develop, implement, and maintain automated test solutions within CI/CD pipelines for end-to-end functional and regression scenarios.
Own manual and automated test execution and reporting within assigned Scrum teams, including functional, regression, and exploratory testing as part of sprint delivery.
Analyze test results and failure trends to provide actionable insights and communicate findings clearly to developers and stakeholders.
Participate in sprint ceremonies and collaborate with developers to improve software testability throughout the development lifecycle.
Contribute to automation standards and testing best practices across Scrum teams.
Share automation capabilities and knowledge to align testing approaches across teams.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.

In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.

*Hybrid position.

Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.


Responsibilities
Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for a junior C # software Developer to join our dynamic and unique core technology ATE SW team. Our ATE (Automatic TEST Equipment) group is at the forefront of developing high-volume production line hardware-based testers for end-of-line product assembly. Our testers are developed in-house, encompassing hardware, mechanics, and software, ensuring top-notch quality and performance. This is an exciting opportunity to contribute to our productivity and innovation! **What You'll Do** Responsible for the entire development process, from gathering requirements to implementation, including post-release support. Develop, TEST, and maintain C #.NET applications using.NET framework,.NET Core and ASP.NET. Work closely with the Hardware team on joint projects. Develop software for automated hardware tests, drivers, and communication protocols. Use AI coding assistants (e.g. GitHub Copilot, Claude) as part of the day-to-day development workflow. Contribute to new projects and provide support for existing ones. Assist in resolving production issues and analyzing failures.


Country:
Israel

City:
Herzliya

We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap - not just execute against a backlog.

What you will do
1. Research Direction

Set the technical research agenda for our tabular prediction models.
Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data.
Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy.
Set standards for experimentation, evaluation, and model guardrails.
2. Client Project Delivery

Own DS delivery end-to-end across concurrent client engagements - from discovery through modeling, validation, and go-live.
Partner with Solutions and Implementation on discovery and rollout; represent Data Science in client meetings, presenting results directly to stakeholders.
Ensure delivery lands inside the product, on timeline, coordinating with Engineering on productionization.
Track delivery risk across the client portfolio, flagging blockers and scope changes early.
3. GenAI Tooling & Team Capability

Build the team's onboarding and delivery playbook for new use-cases and encode it as reusable Claude skills/agents
Turn repeatable steps in the DS workflow into standardized, shared tooling.
Raise the team's GenAI fluency through mentoring on Claude Code and related tooling.

We are seeking a senior embedded software engineer to serve as the technical lead for our embedded team, developing the real-time software at the heart of a first-in-market surgical robotic platform.

This is a hands-on, individual-contributor role: you will help shape the technical direction, make sound engineering decisions, and take ownership of delivering features end to end, while remaining deeply involved in the code. As the system is designed collaboratively by the team, strong cross-team collaboration is as important as individual technical excellence. This is safety-critical software, and we hold a high standard for rigorous design, testing, and code quality.

Responsibilities:

Serve as the technical and feature lead for the embedded team, guiding design decisions and mentoring peers through code reviews (this is not a people-management role).
Drive the design and development of our real-time embedded software, and own the delivery of features end to end.
Uphold a high standard of code quality through code reviews, best practices, and continuous improvement.
Remain hands-on, personally developing the most complex and safety-critical components in C/C++.
Collaborate closely with other teams across the company to ensure technical alignment and shared progress.
Take ownership of delivery, ensuring features are completed on schedule and to the quality this product demands.
Make technical decisions independently where appropriate, while knowing when to involve the wider team.

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.

Description
As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!.