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We’re looking for an experienced AI / GenAI Developer to join an advanced R&D team in Ashdod and build intelligent, agent-based AI applications.

This role is ideal for a strong software engineer with hands-on experience developing production-grade GenAI solutions, working with modern AI frameworks, and building autonomous or semi-autonomous AI agents.

What we’re looking for:

• 5+ years of hands-on software development experience
• Strong Python development skills
• Proven experience developing GenAI applications
• Hands-on experience with advanced prompt engineering
• Practical experience with AI development frameworks and libraries
• Experience with Agentic AI / AI Agent development
• Experience working with vector databases
• Strong software engineering mindset and ability to build robust, scalable AI applications

We are looking for a talented Algorithm Developer to join a multidisciplinary R&D team developing advanced signal processing systems.

The role combines algorithm development, system-level engineering, research, and hands-on implementation, from translating system requirements into algorithmic solutions through testing and validation in real-world environments.

Responsibilities

• Design, develop, and implement signal processing algorithms based on system requirements.
• Translate system requirements into algorithmic solutions and support system integration, testing, and validation.
• Research, evaluate, and improve algorithmic approaches and technologies.
• Prepare technical documentation, including algorithm specifications and test plans.
• Collaborate with multidisciplinary engineering teams throughout the development lifecycle.

Requirements

• B.Sc. in Electrical Engineering, Electronics Engineering, Electro-Optics, Physics, or Mathematics – required.
• M.Sc. in a relevant field – an advantage.
• Experience in signal processing – an advantage.
• Strong programming skills in Python and MATLAB – required.
• Experience developing algorithms for signal processing systems – an advantage.
• Knowledge of AI and statistical methods – an advantage.
• Strong analytical, system-level thinking, and teamwork skills.

We are looking for an experienced Deep Learning & AI 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.
• 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.

Required Qualifications

• 3+ years of experience in machine learning / deep learning engineering.
• Strong background in Python and major deep learning frameworks such as PyTorch or TensorFlow.
• B.Sc. in Electrical Engineering, Computer Engineering, or a related field (M.Sc. or Ph.D. is a plus).
• Experience with version control using Git, including branching strategies and collaborative workflows.
• Proven experience designing and implementing end-to-end training pipelines, including data ingestion, preprocessing, model training, evaluation, and reproducible experimentation.
• Experience with data versioning and experiment management (e.g., ClearML, MLflow, DVC).

Axon Pulse is revolutionizing radar signal processing by fusing classical algorithms with state-of-the-art AI and deep learning techniques. Our next-generation technology pushes the boundaries of radar performance, enabling smarter detection, tracking, and classification.

We’re growing—and we’re looking for a driven AI and Signal Processing Team Leader to join our exceptional team and help shape the future of radar innovation.

Responsibilities

• Lead and mentor a team of AI and signal processing engineers.
• Manage end-to-end development of AI and radar-related projects — from research and design to implementation and deployment.
• Design, train, and optimize deep neural networks for radar applications.
• Combine classical signal processing methods with AI-based techniques to improve radar performance.
• Analyze RF data and extract meaningful insights to support system improvements.
• Collaborate closely with cross-functional teams, including software, hardware, and research.
• Ensure high technical standards, best practices, and timely project delivery.
• Support recruitment, training, and development of team members.

• Requirements
• B.Sc. in Computer Science, Electrical Engineering, Physics, or a related field (M.Sc. – an advantage).
• 5+ years of hands-on experience in deep learning or signal processing development.
• Proven experience leading or mentoring a small technical team.
• Strong knowledge of neural networks, classical algorithms, and radar signal processing.
• Excellent problem-solving and communication skills.
• Independent, proactive, and able to manage multiple priorities in a fast-paced environment.

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 Axon Pulse, 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

Required Qualifications:

• Bachelor’s degree in Engineering or related fields.
• Experience in C/C++ development
• At least 2 years of hands-on experience with CUDA development for GPU acceleration
• Strong understanding of signal processing concepts and algorithms
• Experience in real-time and high-performance computing environments