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We are a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Photonics R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis. You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
* Lead experimental and theoretical R&D efforts for the development of Prismas next-generation distributed fiber-optic acoustic sensing systems.
* Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
* Develop system -level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
* Build software tools and simulations in Python, C ++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
* Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
* Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
* Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
* Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are looking for a talented, self-driven, and hands-on DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

?About us
We are a world-class designer, Developer, and manufacturer of innovative Fire Control Systems that significantly increase the accuracy and lethality of small arms. With a rich record in designing unique solutions for the warfighter, our technology enhances mission effectiveness through the ability to accurately engage and eliminate ground, aerial, static or moving targets during day and night operations. We develop advanced fire control, stabilization, and target engagement systems used worldwide. We are expanding our R&D team and looking for a Control & Algorithm engineer to develop next-generation precision motion and control technologies. Responsibilities
* Develop motion control algorithms for Real-Time high-precision systems
* Design and implement control models using MATLAB/Simulink (major part of the work)
* Develop and maintain control algorithms for new and existing products
* Work on fire control, stabilization, tracking, and line-of-sight systems
* Participate in system integration, debugging, and performance tuning on real systems
* Support laboratory and field testing, including on-site experiments when required
* Analyze TEST results and implement algorithmic and system improvements
* Work closely with multidisciplinary teams (software, mechanical, electrical, and systems)

Required AI / Computer Vision Algorithm Engineer
Key Responsibilities:
AI/Computer Vision Engineer to develop image-processing algorithms for next-generation ophthalmic diagnostic devices.
Full time, Hybrid
Develop advanced computer-vision algorithms for medical imaging.
Detect biomarkers related to specific use cases
Build models supporting diagnostic decisions.
Train deep-learning models (CNNs, ViT, Autoencoders).
Work with Python, PyTorch/TensorFlow, OpenCV.

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this hybrid fixed term role (2 days remote, 3 days in office), you will be part of the Materials & Biological Safety (MBS) team, responsible for creating and maintaining material data and biological safety information, for medical devices manufactured by our company. as Materials & Biological Safety Associate Specialist. You will be responsible for providing ongoing material and biological safety support for R&D and Engineering teams and regulatory submissions.

Essential Duties and Responsibilities
Local/site point of contact for internal employees, external clients and service providers regarding materials and biological safety of West Medical Devices platforms mainly VTD and V2B.
Support the design and development teams with materials research, evaluation, and selection. Liaise with Product Design, Validation & Verification and Project Managers/Leads to achieve project goals through high quality, accurate and timely completion of deliverables.
Responsible for directing external/third-party biocompatibility testing service providers and coordinate testing at external labs.
Coordinate, build and procure sample devices from the manufacturing plant for use in biocompatibility and/or chemical characterization evaluations.
Create (author) and/or review and approve biocompatibility test plans, protocols, and reports.
Create (author) and/or review and approve biological gap assessments for Medical Devices and manufacturing process.
Create (author) and/or review Biological Risk Assessment (BRA) /Toxicological Risk Assessment (TRA) in preparation for completing biocompatibility testing and chemical characterization programs.
Provide general ongoing materials and biological safety support with customer requests/inquiries, regulatory body or customer audits, and regulatory submissions.
Maintain thorough understanding of relevant ISO standards, quality system and laboratory testing accreditation requirements.

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.

We are seeking an experienced and self-driven Systems Engineering Functional Manager to lead our systems engineering team for our CT/AMI detection platform (DMS). This team is responsible for the full lifecycle of system-level development from systems design, requirements management, architecture design, execution of technical reviews, setting the integration plan to verification, validation, and regulatory compliance.

Your role:
Lead and mentor a multidisciplinary systems engineering team, fostering growth, collaboration, and technical excellence.
Provide strategic and hands-on technical guidance in the development of CT/AMI detection platforms.
Oversee engineering planning and execution to support complex project ensuring timelines and quality standards are met.
Resource assignment and prioritization including headcount and budget management.
Working across functions and team boundaries to define, design, and implement the next generation of products.
Decision making in cross-disciplinary and architectural aspects.
Drive continuous improvement in engineering and systems engineering processes and tools.
Support audits and regulatory inspections as a subject matter expert.
Represent DMS System Design in global engineering forums and initiatives.