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Requirements:
• 3–5 years of experience in field marketing • Strong organizational skills and attention to detail • Hands-on, execution-oriented mindset • Proven experience managing events and tradeshows • Excellent communication and coordination skills • Ability to work independently under tight deadlines • High-level English – a must • Experience in the powersports / motorcycle industry – an advantage

Requirements:
Algorithm engineer - Advanced Sensing Technologies Join a leading defense R&D organization at the forefront of next-generation sensing systems. We are looking for an Algorithm engineer who thrives on solving complex physical problems and translating them into high-performance computational solutions deployed in real-world environments. The Role You will take part in the full algorithmic lifecycle - from fundamental research and modeling of physical phenomena to implementation, optimization, and validation within operational systems. This is a hands-on role combining deep signal processing expertise, advanced Machine Learning, and experimental validation in both lab and field settings. What Youll Do Design and develop state-of-the-art signal processing and learning algorithms Transform raw sensor data into robust, production-grade computational models Lead and analyze lab and field experiments to validate algorithmic performance Conduct advanced signal and image processing research Collaborate closely with multidisciplinary teams ( data science, hardware, system engineering) to integrate algorithms into complex sensing platforms What Were Looking For B.Sc. in Physics, Electrical Engineering, or Geophysics (M.Sc./Ph.D. - advantage) 3+ years of hands-on experience in Signal Processing, with strong foundations in sampling theory Proven experience in audio or sensor signal analysis (STFT, spectrograms, filtering) Ability to extract meaningful features from raw signals and integrate them into ML pipelines Practical experience training and evaluating Deep Learning models (CNNs, Transformers) Strong Python skills and experience with scientific/ML ecosystems (NumPy, SciPy, Pandas, PyTorch) Experience with large-scale data processing - advantage Familiarity with self-supervised learning - advantage This role offers the opportunity to work on mission-critical technologies, tackle real-world physics challenges, and contribute to systems that operate at the cutting edge of sensing innovation.

Requirements:
Full Stack team lead - Cloud & AI Systems Join a cutting-edge defense technology organization building mission-critical systems at the intersection of cloud architecture, AI, and secure environments. We are looking for a strong technical leader who combines deep Full Stack expertise with cloud-native thinking and hands-on delivery capabilities. This role offers the opportunity to lead the development of a new product from early concept through operational deployment - in an environment where engineering excellence directly supports real-world impact. The Role As a Full Stack team lead, you will shape the technological direction, define architecture, and guide a multidisciplinary team in delivering secure, scalable, and AI-driven systems. You will operate in highly regulated, security-sensitive environments, including air-gapped infrastructures, while maintaining modern engineering standards. Key Responsibilities Define system architecture, technology stack, and long-term technical roadmap Lead the development of scalable, secure, cloud-native microservices and CI/CD pipelines Integrate advanced AI/ML capabilities (LLMs, model serving, MLOps, monitoring) into production systems Remain hands-on across the stack - backend services ( Node.js / Python / JAVAgreenTxtBg!) and modern frontend frameworks ( React / Angular / Vue) Design and maintain secure air-gapped and on-prem environments for critical deployments Collaborate with Product, data, DevOps, and Security teams to meet technical, operational, and performance objectives Establish best practices for observability (logging, metrics, tracing), security (IAM, encryption, secrets management), and cost optimization Requirements B.Sc. in Computer Science, Software Engineering, or related discipline 7+ years of software development experience, including 2-3 years in technical leadership Strong expertise in cloud platforms (AWS / Azure / GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform / CloudFormation) Proven Full Stack capabilities - APIs, backend services, databases, and modern frontend development Experience building or operating secure air-gapped or on-prem systems, including deployment workflows and repository management High-level English proficiency Strong leadership, communication, and problem-solving skills This is an opportunity to lead complex engineering efforts, influence architectural decisions, and build secure, AI-powered systems that operate in high-stakes environments.