Key Skills

Job Description

We are currently looking for a Senior Embedded Systems Engineer to join our team in Delft. As Earth observation missions continue to demand higher-resolution sensors and increasingly intelligent payloads, the need for a new generation of onboard processing capabilities is growing rapidly. Processing data directly in space enables faster decision-making, reduces bandwidth requirements, and unlocks entirely new mission concepts. At S&T, we are developing the next generation of onboard processing platforms that combine high-performance electronics, advanced software, and AI to bring these enhanced capabilities into orbit as quickly as possible. As a Senior Embedded Systems Engineer, you will play a key role in developing our first-generation onboard computing platform. You will take ownership of the embedded software development lifecycle, from initial concepts and architecture through implementation, integration, and validation. You will collaborate closely with multidisciplinary teams, including Systems Architects, FPGA Engineers, Electronics Design Engineers, Space Systems Engineers, and Mechanical Engineers, to develop high-performance, reliable products for demanding environments. This role offers the opportunity to work across multiple engineering disciplines, combine technologies into innovative solutions, and make a direct impact on the development of advanced products within a dynamic, high-tech organization. Responsibilities Lead embedded systems engineering by establishing efficient engineering processes and ways of working. Mentor and support junior and medior Embedded Systems Engineers in their day-to-day activities and perform design reviews to ensure technical quality and compliance. Translate high-level system requirements into robust embedded software and hardware designs. Develop and maintain Linux-based operating systems for onboard edge computing platforms using technologies such as Yocto and Buildroot. Develop reliable software solutions for failure detection, recovery, and mission continuity. Develop and integrate satellite communication protocols and interfaces. Develop and optimize drivers for machine learning and algorithm accelerators, enabling efficient execution of AI workloads on embedded platforms. Requirements Education: A BSc or MSc degree in Electrical Engineering, Computer Science, Aerospace Engineering or a related discipline. Experience: Minimum 10 years of dedicated Embedded Systems Engineering experience. Experience developing systems for space applications or other safety-critical environments. Knowledge of GPU/AI acceleration technologies, including NVIDIA Jetson, CUDA, and/or VITIS-AI. Experience with Linux kernel development, device drivers, and embedded Linux optimization. Strong programming skills with a minimum of C, C++, and Python. Knowledge of space safety systems, fault detection, and failure recovery software. Experience with CI/CD pipeline development and maintenance, using tools such as CMake, GCC, and Git within an embedded Linux development environment. Interested? Then click to apply or send your CV and motivation letter to [email protected]. Privacy Notice: In order to apply for this vacancy, you must submit your personal information to Science [&] Technology. Science [&] Technology will collect, use, and process your personal information as mentioned in our Privacy Policy. Our policy and processing of your personal information are compliant with the GDPR. Please note that if you do not hear back from us within 10 days of your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually; however, due to a high volume of responses, it can be that we have not been able to reject your application in person.

Core Responsibilities

Lead the development of onboard computing platforms for space missions, overseeing the full embedded software lifecycle from architecture to validation. Mentor junior engineers and collaborate with multidisciplinary teams to implement AI workloads and reliable failure recovery systems.

Requirements

Requires a BSc or MSc in Electrical Engineering, Computer Science, or Aerospace Engineering with at least 10 years of embedded systems experience. Must have expertise in Linux kernel development, GPU/AI acceleration, and safety-critical environments, specifically for space applications.