R&D Engineer for Training Systems

Are you a young academic talent in the STEM field ready to become one of the architects of the world’s most innovative simulation and training systems within military and civil aviation? Do you want to leverage your technical expertise to contribute to groundbreaking simulation technologies or master them? Join us in a collaborative environment with a multidisciplinary team of professionals in a cutting-edge high-tech setting. Here, you will not only have the opportunity for personal growth but also the resources to make a significant impact on our stakeholders! The success of aviation operations is no longer determined solely in the air but by the advanced simulations and training that precede them! – Achieve this with us.What Will You Do?As an R&D Engineer for Training Systems, you will focus on a broad development of knowledge regarding the latest simulation technologies, components, and architectures, and how to effectively and securely combine and integrate them into sustainable training system solutions for aviation. This role requires a solution-oriented and agile mindset to optimally align user requirements, desired and necessary functionality, and feasibility on technical, financial, and organizational levels. Collaborating with your colleagues, you will advocate for and connect the diverse interests of all involved stakeholders. Additionally, you will assist end-users in validating future and existing training systems, elevating these systems to a higher operational user level while ensuring compliance with aviation regulations. You will regularly collaborate with colleagues from other teams on various projects that deliver high-quality technological simulation and training solutions to end-users in aviation operations. Consider (inter)national networks with next-generation flight simulators for joint training of pilots and crew members in complex operational conditions, immersive XR environments for aircraft maintenance training, or AI-driven simulation systems supporting operational users of autonomous flying systems. Your role will also involve frequent contact and interactive working sessions with these users to develop groundbreaking comprehensive solutions. Your enthusiasm and willingness to enrich your understanding of the operational world of these users are essential. This will involve not only desk work but also on-site engagement with these operational users, along with regular collaboration with...

Are you the ambitious R&D Engineer specializing in RF System Simulations who thrives on tackling complex challenges for Defense? Do you aspire to contribute to a safer world? If so, we would love to hear from you!What Will You Do?As an R&D Engineer focusing on RF (Radio Frequency) System Simulations, you will collaborate closely with multidisciplinary teams and partners in the Defense sector. Your role involves a stimulating blend of theoretical study and practical application. You will conduct research on the functioning and influence of RF sensor systems for Defense and the aerospace industry, striving to enhance military systems and ensure their safe deployment.Become an expert in modeling and simulating RF systems, signatures, and techniques. You will contribute to the development of testing and evaluation methodologies, participate in both domestic and international tests, and analyze results. Collaborating with colleagues and international R&D institutes, you will devise innovative solutions and develop into a trusted advisor for Defense.

Are you intrigued by how military concepts, tactics, and technologies are tested before they are implemented in real-world scenarios? Do you want to work at the intersection of technology, experimentation, and operational concept development? Are you someone who can establish technical environments where wargaming, operational simulation, and experiments come to life? If so, we want to hear from you!What Will You Do?In this role, you will design, implement, and adapt experimental simulation and wargaming environments as part of diverse research projects.You will translate research questions into functional technical setups where simulators, models, software components, and sometimes live systems come together. This can range from a small-scale conceptual experiment to a large-scale distributed exercise involving multiple parties and countries.Your tasks will include:Setting up and configuring temporary or project-specific simulation environments;Connecting simulators and systems through interoperability standards (such as DIS/HLA);Establishing secure and scalable network environments as part of experiments;Supporting wargames and experiments during execution;Further developing generic building blocks that can be reused in future projects.In this position, networks and systems are not ends in themselves, but means to enable realistic, reproducible, and flexible experimental environments. You will work in multidisciplinary teams with researchers, software engineers, military domain experts, and external partners, both nationally and internationally.

Are you an ambitious professional with a university background in exact or social sciences? Are you seeking a challenging role that allows you to merge your knowledge with innovation, collaboration, and personal growth? Do you get excited about working together on training and simulation to tackle complex operational issues and conduct research with a young and diverse team? If so, we want to hear from you!What will you do?As an R&D Engineer in Operational Simulation, you will solve complex military operational questions by applying simulation techniques. This includes areas such as decision-making in logistics chains, planning and prediction problems, wargaming, and smart optimizations in intricate socio-technical systems. You will leverage your knowledge of system sciences to deconstruct these multifaceted questions and make them applicable within simulations. You will blend data and models, build simulations, and collaborate on how these can be used for both research and practical applications in military operations. You will bridge the realm of operational questions in the defense and security sector with the world of simulation applications.Your responsibilities include:Contributing to generating insights about the functioning of large-scale military operations, leading to simulation-based tools that enhance decision-making regarding processes and military actions;Collaborating with colleagues to analyze stakeholder needs and research to develop knowledge, skills, and tools that make a practical impact on military operations;Representing NLR to the outside world by contributing to workshops and conferences;Working alongside colleagues from other disciplines within the department, such as AI and Humans and Intelligent Systems, as well as other departments like Defense Operations.Simulations and related activities are complex systems in their own right, where a multitude of technologies converge, such as Discrete Event Simulation, ...

Are you an ambitious young professional looking to apply your knowledge to make a significant impact on learning and performance in both military and civil aviation? We have the perfect challenge for you! Your RoleAs an R&D Engineer specializing in Training and Development, you will work within the training and simulation sector focused on (military) aviation. Your primary objective will be to investigate how to structure learning in the most effective and personalized manner, aiming to enhance performance in critical situations.This includes analyzing learning needs, designing training programs, developing innovative learning tools, expediting the readiness of military personnel, intelligently utilizing learning data, and integrating Artificial Intelligence into learning processes. Collaborating with a dynamic, multidisciplinary team, you will help shape the future of learning, with ample opportunity for your ideas, talents, and growth. Your Responsibilities Include:Analyzing learning and training needsDeveloping selection tools to support effective training intakeInvestigating the application and integration of innovative learning technologies while formulating functional requirements for (digital) training resourcesInterpreting learning data and contributing to the improvement of training designSetting up research, gathering and analyzing data, and translating results into actionable improvementsPresenting your findings at (international) meetings and contributing to knowledge sharing within and outside the organizationMaintaining client contact, identifying opportunities, and co-authoring proposalsThroughout all these tasks, you will work closely with colleagues and clients from practice. In summary, as an R&D engineer, you will hold a role with substantive depth and dynamism in a multidisciplinary environment!

What Will You Do?As an R&D Engineer for Military Operational Analysis (MOA), you will collaborate closely with colleagues across various disciplines and the Defense sector. This role offers a challenging blend of research and practical application. You will tackle complex MOA issues for the Defense by utilizing simulation techniques and insights into military systems. This includes addressing questions related to the procurement and optimal deployment of manned and unmanned systems, mission optimization, decision-making in operations, and wargaming.You will apply your knowledge in system sciences, analytical methodologies, and military systems and doctrines to resolve multi-domain MOA challenges. You will also steer new MOA research and devise innovative solutions together with colleagues and other (international) R&D institutes. In essence, you are a generalist driven to approach MOA challenges in a structured and scientific manner, becoming a trusted advisor for the Defense.

NLR (Netherlands Aerospace Centre) is looking for an R&D Engineer GNSS and Navigation (m/f/x) to join its Amsterdam team. This position centers on satellite navigation for both civilian and military uses, aiming to improve the safety and intelligence of navigation systems. Main Responsibilities Collaborate with colleagues to research, develop, and test Position, Navigation, and Timing (PNT) solutions. Process GNSS signals and examine how jamming and spoofing affect navigation systems. Apply Software Defined Radios to study GNSS receiver processing and methods to counter interference. Design and conduct tests to assess PNT equipment under GNSS jamming and spoofing scenarios. Share research results with colleagues, clients, and stakeholders through presentations. Sample Projects and Tasks Explore GNSS receiver techniques and contribute to the department’s technical expertise. Analyze vulnerabilities from GNSS disruptions and build skills in interference detection. Test PNT solutions using GNSS simulators or at the NLR Drone Center. Create PNT systems and tools to help clients detect and locate interference. Collaboration The team partners with a wide range of clients, including government agencies (especially in defense), industry partners in the Netherlands and abroad, research institutes, and universities. Regular communication and providing well-supported advice are important aspects of this role.

Are you an ambitious R&D Engineer specializing in Operational Analyses for Electronic Warfare (EW), eager to tackle innovative solutions for defense? Do you want to contribute to making the world a safer place? If so, we would love to meet you!What Will You Do? As an R&D Engineer in Operational Analyses EW, you will collaborate closely with colleagues from various disciplines and the defense sector. You will engage in a challenging blend of theoretical and practical work, conducting research on the operation and influence of EW systems for the defense and aerospace industries. Your efforts will focus on enhancing military systems to ensure safer deployments.You will become an expert in evaluating EW systems and technologies within their operational contexts, leveraging models, synthetic, and field test data to provide clear insights. You will contribute to the development of testing and evaluation methodologies, participate in domestic and international tests, and analyze the results. You will also devise innovative solutions alongside colleagues and other (international) R&D institutes, developing your advisory skills for defense applications.What Do You Bring?Aspirations and creativity to translate customer challenges and emerging technological advancements into innovative, practical solutions;A strong desire to become an expert in the operational analysis of EW systems;Experience with modeling and evaluating EW systems is a plus;Proficiency in programming languages such as MATLAB (Simulink), C, and Python is advantageous;Excellent communication skills in both Dutch and English;A curious, independent, and inventive personality.What Do We Offer You?Working at NLR means being part of a national and international high-tech environment where collaboration and engagement are highly valued. By granting you autonomy and responsibility, you are best positioned to drive groundbreaking innovations. Whether you seek to develop professionally or personally—or even pursue a PhD—NLR supports you as a learning organization, offering a training budget, mentoring, internal coaching, and strong ties with vocational schools, universities of applied sciences, and universities.In addition to these opportunities, we provide you with:A generous 45 vacation days to ensure you enjoy ample leisure time alongside your challenging role.A fixed year-end bonus of 8%.Assistance with your healthcare costs.Additional paid parental leave.

Are you eager to explore and innovate the boundaries of Artificial Intelligence (AI) while developing groundbreaking applications?At the Royal Netherlands Aerospace Centre (NLR), you will have a unique opportunity to unleash your ideas and creativity as a Research and Development Engineer in Artificial Intelligence. We employ AI to tackle complex technological challenges and are seeking an AI expert to enhance our team's capabilities.Your Responsibilities:As an R&D Engineer specializing in Artificial Intelligence at NLR, you will gather and apply knowledge from various forms of AI.AI and Data Science are increasingly pivotal in managing complex aerospace systems. The intelligent integration of diverse techniques across disciplines is key. For example, you might utilize synthetic data generation to create realistic simulation data for training purposes, integrate NeRF with AR/VR and spatial computing for enriched simulations, or implement RAG in conjunction with large language models to enhance virtual assistants.Your goal is to solve complex AI problems and continuously improve existing solutions. This could involve working on one of our in-house knowledge projects or addressing specific inquiries from our external stakeholders. In collaboration with your team lead, you will define how to expand and apply this knowledge, leveraging your expertise in the research and development of tools aimed at enhancing human performance with complex systems.Key Activities Include:Investigating AI solutions for specific problems and providing expert advice;Identifying the needs of end-users and other stakeholders, translating these into integrated, actionable solutions;Carrying out substantive project tasks, contributing to technological advancements, and ensuring that knowledge and prototypes are delivered to stakeholders;Initiating new projects, actively identifying relevant opportunities and developments for our end clients, and translating these into concrete, executable initiatives.

Are you a young academic talent in the STEM field, eager to become one of the architects behind the world's most innovative simulation and training systems in both military and civil aviation? Do you want to apply your technical expertise to develop groundbreaking simulation technologies? If so, we are looking for you! The success of aviation operations is increasingly determined not just in the air, but by the advanced simulations and training that precede them!What Will You Do?As a Junior R&D Engineer in the simulation technology team, you will focus on developing a wide array of innovative technologies, models, and components for various simulation purposes. You will conduct experiments and evaluations using cutting-edge simulation technology largely developed by your team. This collaborative work will involve close consultation with future operational end-users such as pilots, loadmasters, UAS operators, air traffic controllers, and combat leaders. You will efficiently apply your continuously evolving skills in modern software engineering methods and techniques, extended reality (XR), cloud and network technology, cybersecurity, aerospace systems, visual database modeling, simulation protocols, and interoperability standards. Together, you will create pioneering simulation technologies that truly matter. Within your team, you will frequently collaborate with colleagues from other teams on various projects that deliver high-quality technological simulation and training solutions to end-users in aviation operations. This includes networking with next-generation flight simulators for joint pilot training, immersive XR environments for aircraft maintenance training, and AI simulation systems that daily support operators of autonomous systems. You will have regular contact and interactive work sessions with these end-users to develop groundbreaking comprehensive solutions. Your enthusiasm and willingness to delve into the operational world of these users is essential, as you will not only work from your desk but also engage with these operational users on-site, often in collaboration with industry and knowledge partners worldwide.

Nederlands Lucht- en Ruimtevaartcentrum (NLR) in Amsterdam seeks a Software Engineer with a strong interest in aerospace systems. This position focuses on research and development for onboard aircraft software, emphasizing innovative approaches and sustainable solutions. Key responsibilities Develop software for aircraft systems as part of a multidisciplinary team. Translate customer requirements into clear, practical software solutions. Apply relevant regulations, ensuring all systems comply with airworthiness standards in a structured and traceable manner. Analyze specific customer needs and address complex technical questions. Manage the full software development cycle, including detailed design, implementation, and documentation of airworthy software. Work closely with colleagues on technically challenging projects that differ in scope and subject matter. Focus areas Research and development for aircraft onboard software Innovation and sustainability within aerospace systems

Are you a driven RF Signal Processing Engineer eager to craft innovative solutions for aerospace and defense? Do you aspire to contribute to a safer world? If so, we want to hear from you!Your Role:Join the security domain by leveraging your technical expertise as an R&D Engineer at NLR. In your role as an RF Signal Processing Engineer, you will be pivotal in developing algorithms to process data from operational satellites. Collaborating with your team, you will design and implement cutting-edge RF techniques used for monitoring and classifying RF signals, enhancing the effectiveness of operations within the security sector.Key Responsibilities:Design testing/simulation environments for new signal processing techniques and algorithms.Process RF data from satellites using signal processing techniques including detection, localization, filtering, tracking, and beamforming.Collaborate on the Digital Signal Processing (DSP) architecture for future satellite missions.Work within a multidisciplinary team of FPGA, System, RF, Software, and Payload Engineers.Analyze satellite observations for Intelligence, Surveillance, and Reconnaissance (ISR).Qualifications:Academic background in Electrical Engineering, Physics, Aerospace Engineering, Embedded Systems, or related fields, with relevant experience in RF Signal Processing Engineering.In-depth knowledge of radar system operations.Strong communication skills in both Dutch and English (at least B1 level).You are eager to learn, independent, inventive, and ambitious.Desire to translate innovative algorithms into practical applications for daily use.Experience in structured programming as part of a team using Git.Proficiency in prototyping with Python.What We Offer:Working at NLR means being part of a national and international high-tech environment. Collaboration and engagement are core values for us. By providing you with freedom and responsibility, we empower you to achieve groundbreaking innovations. Whether you aim to develop professionally or personally, or even pursue a PhD, NLR supports your ambitions.

What Will You Do?Enhance the safety domain with your technical expertise as an R&D Engineer in Earth Observation at NLR, focusing on hyperspectral Earth observation data. Using advanced processing techniques, you will extract valuable insights from vast quantities of sensor data sourced from new satellite constellations!As an R&D Engineer in Earth Observation at NLR, you will play a crucial role in the development and enhancement of systems dedicated to processing Hyperspectral Imaging (HSI) data for both military and civilian applications. Your knowledge and experience in transforming raw sensor data into reliable information products will be pivotal for governmental and market stakeholders within the safety domain.You will be involved in the creation of innovative concepts, methodologies, and prototype systems for monitoring, intelligence gathering, mapping, and simulation, enabling Defense to perform its tasks more effectively. Fundamental remote sensing knowledge, including radiometric calibration and atmospheric corrections, is essential for this role.In addition, you will actively participate in the setup, execution, and analysis of measurement campaigns utilizing field spectrometers or airborne HSI data. This is vital for calibration, validation, and the development of high-quality spectral libraries. This data is a crucial link in monitoring critical infrastructure and enforcing tasks for the Ministry of Justice and Security. You will collaborate closely with NLR colleagues, national and international industry partners, fellow institutions, universities, and government bodies.Your tasks will include:Detection and identification of objects, activities, or phenomena in HSI data, along with developing and implementing necessary correction steps such as radiometric calibration and atmospheric corrections.Time-series analysis of HSI data, including fusion with other sources for monitoring purposes.Preparing and conducting measurement campaigns, processing, and analyzing raw HSI data.Contributing ideas for new HSI sensor concepts, processing methods, and applications.Working with and developing synthetic HSI data for simulation, algorithm development, and validation.While the vacancy focuses on HSI data processing from existing and new sensors, the team also engages with optical, infrared, SAR, and electronic signals.

Role overview The R&D Packaging Manager for the Body division at Rituals Cosmetics plays a key role in shaping how the brand presents its products. Based in Amsterdam, this position focuses on developing packaging strategies and leading projects that reflect Rituals’ commitment to both sustainability and a premium customer experience. What you will do Develop new packaging concepts for Body products, ensuring each design meets high standards for both environmental responsibility and luxury appeal. Collaborate with teams across the business to align packaging projects with Rituals’ brand values and enhance the overall customer experience. Oversee packaging initiatives from initial idea through to launch, with a focus on quality, innovation, and timely delivery.

Are you the system and application administrator who thrives on managing complex simulation environments and training systems? Do you want to contribute to an R&D setting where simulators and their applications in experiments are at the forefront? If so, we are looking for you to join us as a simulation systems administrator!Your Responsibilities:Oversee and maintain our simulation systems and associated infrastructure, including simulator servers, simulation workstations, network components, storage, and virtualization platforms.Ensure high availability and performance of simulation environments, providing support for experiments.Install, configure, and update simulation software, middleware, license servers, and tools for scenario and data handling.Monitor and enhance security, backups, and recovery processes for simulation environments, including log management and access control.Troubleshoot issues during simulation sessions, collaborating closely with researchers to resolve problems quickly and prevent future occurrences.Document configurations, procedures, and changes, contributing to the standardization and further professionalization of IT within the simulation environments.

About Software Improvement Group Software Improvement Group (SIG) helps organizations strengthen their software quality through detailed source code analysis and hands-on consultancy. Our Sigrid platform supports software portfolio governance, giving clients more control over their technology landscape. With guidance from experienced consultants, clients can turn software into a reliable asset instead of a risk factor. Role Overview: AI Research and Development Engineer Based in Amsterdam, this role sits within the CTO Office. The AI R&D Engineer will focus on designing and prototyping AI-driven solutions for software engineering challenges. The work blends experimentation, engineering, and applied research. What You Will Do Develop rapid prototypes and applications powered by AI Run internal experiments using large language models (LLMs), prompt engineering, and AI coding assistants Analyze data and contribute to machine learning projects, especially those related to software quality and development practices This position suits someone who enjoys quickly building and testing new ideas, especially in a team that values experimentation and innovation. Why Join SIG? Work in a small, innovation-focused team with room to experiment Influence SIG’s AI strategy and future product direction See your work shape client-facing solutions and the evolution of our offerings

About Gigs Gigs builds a platform that lets technology companies add global mobile connectivity to their products. The goal: make it as easy to offer mobile services as it is to set up payments. Gigs removes telecom complexity for customers ranging from fintech startups launching mobile plans to HR platforms managing work phones. The team includes about 100 people working across the US and Europe, backed by nearly $100 million from investors like Ribbit Capital, Google, and Y Combinator. Gigs brings together engineers, product specialists, and business leaders with backgrounds at Stripe, Airbnb, Shopify, and other top tech companies. The company is growing quickly and tackling both technical and regulatory challenges to make connectivity seamless. Core Values Speed: Work with urgency and treat each week as important for progress. Ownership: Take initiative when problems arise and act with autonomy. Customer Obsession: Focus on customer success as a measure of company success. Ambiguity: Use good judgment and instincts to make decisions, even with incomplete information. First Principles: Question established practices and seek to understand the reasons behind them. Role Overview: Senior IT Systems Engineer The Senior IT Systems Engineer will help ensure that everyone at Gigs has the access, tools, and support needed to work efficiently. This position focuses on building and automating corporate IT infrastructure. The role is hands-on and results-driven, joining as the third member of the Security & IT team. Locations London, Amsterdam, Berlin

Join Skytree in Our Mission for Cleaner Air!Skytree is at the forefront of the battle against climate change, pioneering innovative technologies to capture atmospheric carbon dioxide. Our goal is clear: to create a sustainable future for all by enabling the effective use or storage of carbon dioxide.Originating from the European Space Agency (ESA), we are a diverse team of exceptional scientists, engineers, and business professionals, backed by an experienced management team. Our culture thrives on innovation, collaboration, and a commitment to pushing the boundaries of technology.As we embark on an exciting growth journey, we are in search of a dedicated System Process Engineer to join our dynamic team.Your Role:In the Skytree Technology organization, which encompasses Research & Development, Engineering, and Testing, multidisciplinary teams work together to advance our groundbreaking Direct Air Capture (DAC) technology.The Process Engineering Team plays a vital role in addressing key challenges:Process Design & Optimization: Your expertise will focus on designing processes that efficiently adsorb and desorb sorbent materials while ensuring energy efficiency and high productivity.Real-World Simulation: As we prepare to deploy our innovative product, ensuring it is tailored to meet customer-specific use cases is essential. Your insights will help adapt our technology to varying conditions, such as available energy sources and environmental factors.Your contributions will be crucial in enhancing the efficiency and operational effectiveness of our DAC systems, ensuring they meet the diverse needs of our customers.

At JetBrains, we are passionate about code. Since our inception in 2000, we have dedicated ourselves to creating the most powerful and effective developer tools available. By automating routine checks and corrections, our tools accelerate production processes, allowing developers to innovate and create freely.We are seeking a Research Engineer to take ownership of the training stack and model architecture for our Mellum LLM family. This role is challenging yet rewarding: your mission is to enhance the speed, cost-efficiency, and stability of large-scale training. You will profile, design, and implement modifications to the training pipeline, from architecture to custom GPU kernels as necessary.As a valuable member of our team, you will:Enhance end-to-end performance for multi-node LLM pre-training and post-training pipelines.Identify performance bottlenecks using tools like Nsight Systems/Compute and resolve them through compute/communication overlap, kernel fusion, scheduling, etc.Design and assess architectural choices, including depth/width, attention variants such as GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing/load-balancing.Develop custom operations with Triton and/or CUDA, integrate with PyTorch extensions, and contribute upstream when feasible.Maximize memory/performance enhancements using FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, and NCCL tuning.Ensure robustness in large-scale runs by constructing elastic and fault-tolerant training setups, strengthening checkpointing, enhancing reproducibility, and improving resistance to preemption.Maintain a fast data path through streaming and sharded data loaders as well as tokenizer pipelines, while improving overall throughput and cache efficiency.Establish appropriate metrics, create dashboards, and consistently drive improvements.Efficiently run both pre-training and post-training processes (including SFT, RLHF, and GRPO-style methods) across substantial clusters.We’re excited to welcome you on board if you possess:Expertise in PyTorch and PyTorch Distributed, with experience running multi-node jobs using dozens to hundreds of GPUs.Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or substantial FSDP/ZeRO knowledge.Strong profiling skills (Nsight Systems/Compute, nvprof) and familiarity with NVTX-instrumented workflows.Proficiency in GPU programming with Triton and/or CUDA, including the ability to write, test, and debug kernels.A solid grasp of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and their implications in performance traces.

Are you a networking and protocol specialist with a passion for simulation and training systems? Do you want to work in an innovative research environment where advanced simulators and interoperability are at the forefront? If so, we want to hear from you!What will you do?As a network expert in our department, you will be responsible for designing, optimizing, and managing networks and systems that connect various simulators and operational systems securely and efficiently. You will tackle issues related to network architectures, simulation protocols such as DIS and HLA, network security, and the scalability of complex simulation environments. Your contributions will be vital in enabling interoperability between simulators, operational systems, and autonomous platforms, and you will be involved in the further development of both existing and new simulation networks. You will collaborate in multidisciplinary teams with software developers, domain experts, and stakeholders to create innovative solutions for national and international clients.What do you bring?Completed university degree (Computer Science, Aerospace Engineering, or a comparable technical field);In-depth knowledge of TCP/UDP, DNS, SSL/TLS, routing, reverse proxies, switching, and VLANs;Experience with VPN technology (WireGuard, IPSec), multicast, and network security;Familiarity with Linux systems and basic scripting for task automation (bash, PowerShell, Python);Experience with virtualization/containerization (Docker, LXC, VMs on Proxmox/VMware);Experience with firewalls (e.g., OPNsense, pfSense, RouterOS);Experience in designing and managing robust, scalable network environments;You are collegial, enjoy teamwork, and possess strong communication skills (at least B2) in Dutch and English.Preferred Qualifications:Experience with simulation protocols (DIS/HLA) or willingness to learn;Affinity for simulation and training environments in an R&D context;Experience with mobile connectivity (3G/4G/5G) for exercises or experiments with live platforms;Experience with Authentication/Identity tooling (Keycloak, Authentik, Active Directory);Experience with monitoring tools (Grafana, ...;