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Required Lead Clinical Applications Engineer
Job Description Summary
The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market PET‑CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer - PET‑CT R&D
Key Responsibilities
Serve as a clinical reference for PET‑CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of PET‑CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled PET‑CT features, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

Required Engineering Squad Lead
Description
This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building:
Were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do:
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional

Role Overview We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads. This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality. This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data -critical, high-scale environment What Makes This Role Different
* Not a feature team - focus on system -level problems
* Not a traditional manager - strong hands-on ownership
* Not advisory - drives and executes real changes in production
* Works across teams - true cross-team impact
Responsibilities: Cross-Team Technical Leadership
* Lead a Core Team working across multiple squads
* Identify system -wide bottlenecks, risks, and architectural gaps
* Drive alignment on engineering standards and best practices
* Partner closely with Tech Leads, Product, and Dev teams Architecture & system Design
* Own and evolve system architecture (Monolith Modular / Services)
* Reduce tight coupling and improve system boundaries
* Lead major refactoring and modernization efforts
* Ensure scalability, performance, and resilience
* Microservice architecture (from modular monolith to microservices) Hands-On Development (70%)
* Write complex production code across services
* Lead by example in code quality and design
* Take ownership of the most challenging technical problems Engineering Excellence & Enablement
* Define and enforce development standards (Code Reviews, Design Patterns)
* Improve observability (monitoring, logging, alerting)
* Build reusable tools, infrastructure, and shared components
* Enable teams to deliver faster with higher quality
* Advantage for AI driven standard validations Mentorship & Technical Growth
* Mentor engineers and Tech Leads across teams
* Raise the engineering bar across the organization
* Support teams in production debugging and solving complex production issues Tech Stack backend : Node.js, (Express,nestJS), PHP (advantage) frontend : React, Redux, React Hooks data : MySQL, SQL, Redis Infrastructure: AWS
* Advantage: Experience with agent frameworks (agentic flows)

team lead - Signal Processing Algorithms A leading advanced technology organization in the defense and aerospace sector is seeking a team lead for Signal Processing Algorithms to join a multidisciplinary R&D environment focused on cutting-edge sensing and tracking systems.

About the Role:
This position combines technical leadership with hands-on algorithm development for advanced sensing platforms.
Key responsibilities include:
* Leading and mentoring a team of algorithm engineers.
* Developing advanced signal and image processing algorithms for detection and target tracking across radar and electro-optical sensors.
* Designing optimization and control algorithms for complex sensing systems.
* Defining TEST scenarios and contributing to simulation environments, validation databases, and proof-of-concept experiments.
* Developing innovative algorithmic approaches for detection and tracking in noisy and complex environments.
* Performing comparative performance analysis and documenting algorithmic methodologies.
* Conducting end-to-end system validation in collaboration with system engineering teams.
* Designing, supporting, and analyzing field experiments and validation activities.
* Applying Machine Learning tools for algorithm optimization and performance enhancement.

We are looking for an experienced and leadership-oriented ATE Software team leader to lead our software ATE development team. In this role, you will manage a team of software engineers, overseeing the design and execution of advanced ATE software for electronic cards and calibration systems used in our cutting-edge AESA radar technology The ideal candidate will combine strong software management skills with a deep understanding of RF systems and hardware-software integration. Key Responsibilities:
* Lead, mentor, and manage a team of ATE software engineers.
* Lead the design and development of automated TEST software for electronic cards and radar calibration.
* Oversee the full software development lifecycle, from requirements definition to deployment on the production line.
* Collaborate closely with Hardware, system, and RF engineers to ensure seamless integration of software with complex testing equipment.
* Drive technical excellence, code quality, and the implementation of best practices within the team.
* Manage project timelines, milestones, and resource allocation to meet delivery goals.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.