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We’re building a unique agent-based AI system for engineering domains — and we’re looking for a sharp Python Developer who learns fast and wants to build real AI systems in production (not just prototypes).

At Axon Pulse, we operate at the intersection of advanced signal processing and AI innovation, delivering cutting-edge technological solutions within secure, mission-critical environments.

💡 What You’ll Do

• Develop backend components for an AI system based on LLMs and AI agents
• Implement efficient algorithms and scalable data processing workflows
• Collaborate with AI researchers to integrate state-of-the-art models
• Optimize performance for real-time, high-throughput systems

🧠 What You Bring

• 2+ years of hands-on Python development
• Experience working in Linux environments
• Experience with Docker containers
• Experience working with Git as part of a development team (VSCode environment)
• Hands-on experience with AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.)

✨ Nice to Have

• Experience with web technologies or cloud environments
• Experience with GenAI / AI agents
• Experience with big data or prompt engineering

We’re looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.

Key Responsibilities

• Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
• End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
• Edge Optimization: Port and optimize models for Edge Deployment.
• Data Reliability: Build tools for automated data collection in changing environments.
• Skills: Problem Solver, Team Player.

Qualifications

• Experience: 4+ years of professional experience in Computer Vision and algorithms development.
• Computer Vision Fundamentals: Deep mastery of Classic CV (image filtering, feature extraction, geometry) alongside modern Deep Learning.
• Model Specialization: Proven track record in Object Detection, Image Classification, and Object Tracking in dynamic environments.
• Software Toolkit: Expert-level proficiency in Python, PyTorch, and OpenCV. with a strong understanding of Linux/ARM architectures

Preferred Qualifications

• Programming: Proficiency in C / C++ for performance-critical modules.
• Environment: Strong command of Linux, Docker, and Arm-based systems.
• Audio Signal Processing: Implement ML pipelines for audio feature extraction and classification.
• Streaming: Knowledge of Video Streaming protocols and low-latency video processing (RTSP, GStreamer).

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.

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 AI infrastructure tooling, including distributed training, experiment tracking, data pipelines, and deployment automation.
• Experience with version control using Git, including branching strategies, collaborative workflows, and integration with CI/CD pipelines.
• 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).

We’re 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

Requirements:

• 2+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must)
• B.Sc. in Electrical Engineering, Physics, or a related field (M.Sc. or Ph.D. is a plus).
• Solid foundation in signal processing
• Experience with radar signal processing (advantage)
• Proficiency in Python and major DL frameworks
• Excellent analytical thinking and problem-solving
• Independent and proactive

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