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We are seeking a skilled and experienced Thermal Analysis Engineer to join our dynamic team focused on developing cutting-edge sensor and laser-based products. In this role, you will play a critical part in ensuring the thermal performance, reliability, and efficiency of our products. Your expertise in heat transfer, thermodynamics, and thermal simulation will be instrumental in guiding the design and optimization of thermal management solutions.

Your Day to Day
Create and develop accurate thermal models using dedicated software (FloTherm)
Analyze and predict thermal behaviour under various operating conditions, including power levels and environmental factors
Design and optimize cooling solutions, such as TEC, heat sinks, fans, and thermal interface materials, to maintain optimal operating temperatures for laser/optical components
Collaborate with the mechanical engineering team to integrate thermal solutions into product designs seamlessly
Conduct thermal testing and validation experiments to verify the performance of selected materials and thermal management solutions
Present findings and recommendations, maintain comprehensive documentation of thermal analyses, simulations, and testing procedures

We are looking for a NPI Configuration Engineer to join our team. The NPI Configuration Engineer will be responsible for leading new product introduction projects and ensuring a successful transition from development to manufacturing.

Your Day to Day
Own all engineering documentation: drawings, BOMs, work instructions, PNs
Manage engineering change processes (ECOs, MCOs, product revisions) end-to-end
Maintain data integrity in PDM/PLM and ERP systems (Priority, SolidPDM - advantage)
Drive new product introduction (NPI) from design to small-scale and mass production (including DFM/DFA/DFT, vendor support, and configuration control)
Participate in design reviews and support risk mitigation during development
Identify opportunities and lead cost reduction initiatives

We are seeking a versatile Tech Lead to join our team responsible for designing and developing next-generation video analytics products leveraging advanced Vision-Language Models (VLM) and Large Language Models (LLM).
Responsibilities
Lead the design and development of scalable, high-performance video analytics solutions using Python and C++
Research and implement hardware-accelerated video processing techniques
Optimize inference of Large Language Models, performance and memory usage
Collaborate closely with Research teams on model training, benchmarking, and selection
Ensure cross-platform integration of core technologies.
Mentor team members and contribute to architectural decisions.

Lead the engineering definition and architecture of the companys systems, bridging between different development domains and ensuring compliance with customer requirements and performance goals.
This role requires a broad system-level perspective alongside hands-on engineering involvement. It is suited for an experienced candidate who can work across disciplines and lead complex engineering processes in a hands-on approach.
Responsibilities:
Define system requirements and architecture for the companys systems
Lead engineering decisions and perform trade-offs between different disciplines
Hands-on engineering involvement with development teams and support implementation of engineering solutions
Coordinate and integrate between electronics, software, mechanics, and algorithm teams
Technical management of system subcontractors
Write requirements and architecture documents
Write test and validation plans
Support integration processes and system testing
Analyze system performance and identify bottlenecks
Solve complex system issues throughout the product lifecycle.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling, and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.

We are looking for a Systems Engineer to support the development, testing, and validation of a multi-sensor system. The role is hands-on and execution-focused, with strong involvement in field tests, lab work, and system-level integration.
Key Responsibilities
Plan and execute lab and field tests for complex sensor-based systems
Work closely with software, algorithm, and hardware teams during development and testing
Support system integration, bring-up, and troubleshooting
Collect, analyze, and validate system data from tests and experiments
Maintain clear system documentation, test procedures, and reports
Manage and support ICDs and system configurations
Participate in customer demonstrations and internal technical reviews.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

we are the global innovator and leading solutions provider of end-to-end wireless connectivity, specializing in transport, access, and AI-powered managed & professional services. Through our commitment to excellence, we empower customers to elevate operational efficiency and enrich the quality of experience for their end users.
Our customers include service providers, utilities, public safety organizations, government agencies, energy companies, and more, who rely on our wireless expertise and cutting-edge solutions for 5G & 4G broadband wireless connectivity, mission-critical services, and an array of applications that harness our ultra-high reliability and speed. our company solutions are deployed by more than 600 service providers, as well as more than 1,600 private network owners, in more than 130 countries.
Through our innovative, end-to-end solutions, covering hardware, software, and managed & professional services, we enable our customers to embrace the future of wireless technology with confidence, shaping the next generation of connectivity and service delivery.
our company delivers extremely reliable, fast to deploy, high-capacity wireless solutions for a wide range of communication network use cases, optimized to lower TCO through minimal use of spectrum, power, real estate, and labor resources - driving simple, quick, and cost-effective network modernization and positioning our company as a leading solutions provider for the connectivity everywhere era.
our company, the global innovator and leading solutions provider of 5G wireless transport, is looking for an Algorithms Engineer to join our team.
In this role you will:
Be a part of a leading Algorithm team responsible for developing Radio core technologies for innovative wireless communication products.
Develop algorithms and architectures for a high spectral efficiency modem in a challenging environment.
Simulate and test new HW & SW designs in Matlab and real-time, in a full modem and channel environment.
Collaborate with the VLSI, RF, SW and System groups.
Take end-to-end ownership, from the concept stages to the fully operational system.

we are the global innovator and leading solutions provider of end-to-end wireless connectivity, specializing in transport, access, and AI-powered managed & professional services. Through our commitment to excellence, we empower customers to elevate operational efficiency and enrich the quality of experience for their end users.
Our customers include service providers, utilities, public safety organizations, government agencies, energy companies, and more, who rely on our wireless expertise and cutting-edge solutions for 5G & 4G broadband wireless connectivity, mission-critical services, and an array of applications that harness our ultra-high reliability and speed. our company solutions are deployed by more than 600 service providers, as well as more than 1,600 private network owners, in more than 130 countries.
Through our innovative, end-to-end solutions, covering hardware, software, and managed & professional services, we enable our customers to embrace the future of wireless technology with confidence, shaping the next generation of connectivity and service delivery.
our company delivers extremely reliable, fast to deploy, high-capacity wireless solutions for a wide range of communication network use cases, optimized to lower TCO through minimal use of spectrum, power, real estate, and labor resources - driving simple, quick, and cost-effective network modernization and positioning our company as a leading solutions provider for the connectivity everywhere era.
About the Role:
The wireless system engineer is a key position in a multidisciplinary R&D organization and acts as a technical lead for all matters related to wireless system design in new and existing products.
In this role you will be part of a dynamic team responsible for defining the architecture of a product, targeted to the Wireless Backhaul Market for 5G deployments.
Understand and analyze customer needs and market trends.
Define hardware, firmware and software requirements while supporting other R&D and Engineering teams, during all project phases.
Support field trials, customer challenges and production processes.

Space Systems Development Manager We are seeking an experienced Space Systems Development Manager to lead the development of advanced space systems from concept through delivery.
Responsibilities:
Lead multidisciplinary teams across systems, software, and hardware
Manage end-to-end development, including requirements, design, integration, and validation
Drive system architecture and ensure successful delivery.

We are currently seeking a Senior FPGA Engineer to join one of our trading teams. While our company has been leveraging FPGA technology for a number of years, you will have the opportunity to build an FPGA application from scratch for an existing team. Were seeking a candidate that has a strong understanding of software and hardware interaction. This person will participate in the full development lifecycle, including system and block level testing, of low latency high throughput FPGA design.
Responsibilities:
Architect and implement new FPGA applications (synthesis, place & route, static timing analysis, documentation) from the ground up
Research and evaluate a variety of cutting-edge FPGA hardware and technologies
Propose creative solutions to overcome FPGA/hardware limitations
Liaise directly with software and other design teams
Conduct lab debugging and characterization of new hardware.

we are looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. our company office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.
As a Machine Learning Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing. You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
Build infrastructure for running Machine Learning algorithms on big data.
Optimize Machine Learning algorithms to run under latency constraints.
Parallelize Machine Learning algorithms to run on a parallel compute grid.
Build software for data acquisition and cleaning that can handle hundreds of terabytes of data.
Build data visualization tools for feature exploration and model verification.
Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods.
As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance.