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In this role, you will be leading all aspects of verification and will have a critical impact on the company's R&D path.



Responsibilities:

Define and implement robust SV/UVM verification solutions, including test benches and methodologies, to drive efficient verification closure across block-level and full-chip designs, integrating Mix-signals SoC simulation environment using Verilog, MATLAB, HW/SW Co-simulation and lab integration.
Work closely with Digital Design, Analog Design, Software, Back-end, SW and System teams to understand the functional, power and performance goals of the product and ensure its quality.

In this role, you will be leading all aspects of verification and will have a critical impact on the company's R&D path.



Responsibilities:

Lead the full verification lifecycle and methodologies. Plan, Design and Execute verification of SV/UVM Block level and Full chip environments , creating and execution test plans, tracking progress, and ensuring verification closure across diverse Mix-signals SoC simulation using Verilog, MATLAB, HW/SW Co-simulation and lab integration.
Work closely with Digital Design, Analog Design, Software, Back-end, SW and System teams to understand the functional, power and performance goals of the product and ensure its quality.

We are looking for an Electro-Optical Engineer to join the development team and lead hands-on research, characterization, testing, and integration of advanced electro-optical technologies into complex multidisciplinary systems.
The role combines practical lab work, system-level design, execution, and technological innovation. Role includes leading design and implementation of sensors, lenses, cameras, thermal systems, optical measurement, image quality, sensor accuracy, and integration with broader platform technologies.
As part of the LYNX team, the engineer will support component-level and system-level design, experimentation, integration, supplier technical discussions, test planning, documentation, and collaboration with mechanical, electronics, software, system engineering, and validation teams.
Responsibilities:
Characterize, evaluate, and integrate electro-optical components suh as sensors, lenses, cameras, compasses, thermal imaging modules, and related optical subsystems.
Plan, develop, and execute component-level and system-level experiments, including optical bench testing, optical measurements, and system integration activities.
Define and implement optical test methodologies for image quality, sensor accuracy, optical performance, environmental behavior, and system-level functionality.
Support the integration of new technologies into existing LYNX systems and future developments, including interfaces with IMU, GPS, laser range finders, compass modules, and additional platform sensors.
Work with suppliers and subcontractors on requirements definition, design reviews, performance evaluation, technical trade-offs, and issue resolution.
Write technical specifications, test plans, experiment reports, analysis summaries, and supporting engineering documentation and transfer to production processes.
Support system integration, troubleshooting, verification, validation, and field-testing activities.
Collaborate closely with multidisciplinary teams, including mechanics, electronics, software, system engineering, QA, and operations.

we are looking for a Failure Analysis Engineer.
Job Description:
Lead fault isolation and root cause analysis of memory and logic failures, including electrical, test, and yield failures, from initial failure signature through physical confirmation
Analyze failures at device, memory-cell, array, and circuit level, differentiating between design, test, device, process, and physical failure mechanisms
Correlate electrical characterization, memory-test and yield results, schematics, layout, and physical FA findings to identify and validate root cause
Develop and execute effective fault-isolation strategies, localizing failures down to the relevant cell, circuit, interconnect, or physical structure
Work closely with Design, Device, Test/Product, Process, Reliability, and Physical FA labs to solve complex failures and drive corrective actions
Improve FA methodologies, prepare and present engineering FA report on complex failure investigations

our company is a multidisciplinary company headquartered in Ra'anana. We are the leading provider of obstacle detection & classification 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 deep learning, Rail Vision systems detect objects and obstacles on and along the tracks from up to 2 km 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 analysed data : Image-based Navigation, GIS Mapping and Predictive Maintenance. Were looking for an experienced Deep Learning & Computer Vision Research Engineer to join our Algorithms group. What will you do:
* Be a researcher of the core deep learning algorithms and partnering with other teammates.
* Developing our next generation 2D/3D perception models that utilizes CV in complex environment.
* Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.

our company is looking for a talented Computer Vision Researcher to join advanced R&D activities for defense electro-optical systems. The role includes research, development, and Real-Time implementation of computer-vision algorithms for operational systems. What you will do: Develop and implement computer-vision algorithms for Real-Time electro-optical systems. Work with video streams, object detection, tracking, stabilization, calibration, and sensor fusion. Integrate algorithms into operational systems and support lab, integration, and field testing.

At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.
About the role: We are looking for an Algorithm Researcher to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong mathematical and research capabilities with advanced AI expertise, and if you are motivated by turning complex theoretical concepts into scalable, production-ready algorithms that solve real-world financial crime challenges, ThetaRay could be your next challenge.

?Responsibilities:
* Designing and developing advanced algorithms for complex financial crime detection challenges
* Translating mathematical models and research concepts into scalable production systems
* Building and optimizing ML and LLM-based solutions for real-world deployment
* Working with transformers, attention mechanisms, sequence modeling, and representation learning
* Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
* Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
* Improving model accuracy, robustness, explainability, and inference efficiency
* Collaborating with engineers, data scientists, and domain experts to bring research into production

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.