microTECH Global Limited

A technology company in Edinburgh is seeking an AI Infrastructure Architect to design a unified AI infrastructure and serving architecture for composite AI workloads. The role requires hands-on experience with Serverless architectures and cloud-native technologies. Ideal candidates should be proficient in system-level languages, have a strong foundation in system architecture, and be able to analyze and optimize system-level bottlenecks. Interested applicants can contact via email.

Overview We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required Qualifications and Skills Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. Proficiency in C/C++, with additional experience in Python for research prototyping. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience PhD in systems, distributed computing, or large-scale AI infrastructure. Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters. Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.

Job Title: AI Infrastructure Architect Location: Edinburgh, Scotland Type: Permanent On-Site Working Required, No Sponsorship Provided Responsibilities Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations and tasks. Build an efficient memory/KV-cache/vector store/logging and state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios such as multiple models, multi-tenancy, and high concurrency. Key Requirements Strong foundational knowledge in system architecture, or computer architecture, operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using Profiling/Tracing tools; experienced in analyzing and optimizing system-level bottlenecks regarding GPU utilization, memory/bandwidth, Interconnect Fabric, and network/storage paths Proficient in at least one system-level language (e.g., C/C++, Go, Rust) and one scripting language (e.g., Python) If you're interested in applying, please reach out to

Our client is seeking an Integration Software Engineer to join their team in London. Hybrid: 3 days onsite, 2 days remote. Qualifications & Skills: Experience in developing software using C/C++. An interest in developing system-level software for iOS, Android, or desktop operating systems used by third-party applications. A desire to expand your knowledge of video codecs and video streaming technology. Hold a degree in Computer Science or similar discipline. Responsibilities: Develop and maintain the integration of LCEVC (MPEG-5 Part 2) into various operating systems, including Android, Chromium, WebRTC, and JavaScript-based web decoders. Work on projects such as adding support for HDR content playback on mobile platforms and enabling LCEVC playback on web browsers. Collaborate with decoder and encoder teams to maintain and improve the core C++ codec integration layers. Integrate compression solutions, like VC6 and Point Cloud Compression, into different video editing and creation applications. Engage with the open-source community to contribute changes upstream to video player Open Source projects and assist in integrating LCEVC. Resolve defects within the codec integration layer and across different integrations. Participate in sprint planning and refinement sessions to discuss new features and issues to address in upcoming sprints. Attend daily stand-up meetings to report status, issues, and successes.

Job Title IT Support Engineer Location Stockport, United Kingdom (On-Site Working) Type Permanent Brief Onsite Support (OSS) handles all IT hardware devices and support all IT services on a NXP location. The scope of work includes Maintaining, Analyzing, Troubleshooting, installing computer hardware, software, network, video conference rooms and provide hands and feet support for global IT teams. Responsibilities Work on Incidents, Service Requests & Assist VIP Support and global IT teams with problems, Onboardings- and Off-Boarding Activities, Remote Support Coordination, Inventory Management. Networking support such as Patching and Debugging. Interact with end-users for requests\incidents and follow up with users via teams\mail. Hardware repair support including offer request & data migration support. Printer support (Toner/Drum/Wastebin replacement) & repair support (call vendor and support technician). Installing and decommissioning of hardware (laptop/servers/network/video conference equipment). Handling all IT waste disposal. Requirements Working on incidents and tasks in our ticketing system. Installation of new end-user devices and data migration support. Inventory & Stock Management. Remote support co-ordination and assistance of deployment and decommissioning. Installation, transfer and decommission of servers and network equipment. Network support (Patching & Debugging). Printer support (Toner/Drum/Wastebin replacement). Support for global projects that are getting implemented at the site level. Creation and review of knowledge base articles for our end-users. Hardware and software support for non-standard devices i.e. digital signage systems. Hardware and installation support for audio/video equipment in meeting rooms. Installation and maintenance of devices and equipment located in the server room. Meeting room/event support. Assist VIP support with local problems/topics. Application If this sounds of interest, please apply here or reach out to

Job Title: Mesa Graphics Software Developer Job Type: Permanent Location: Remote Key Responsibilities Engaging with clients to discuss technology matters and representing our client at conferences and trade shows to showcase our leadership in the open-source domain. Examining client challenges and devising solutions by harnessing open-source technologies and leveraging our clients technical proficiency. Collaborating with the delivery team to define and scope client projects effectively. Actively participating in open-source projects, contributing publicly to ensure our clients sustained technical excellence. Acquiring a comprehensive understanding of customers' products, applications, technical strengths, business strengths, and target markets. Comprehending client requirements while balancing time constraints, available technologies, resources, and adhering to open-source best practices. Required Skills Hands-on involvement in making direct contributions to the Mesa 3D Graphics Library, including OpenGL, Vulkan, DRI, and Gallium drivers. Proficiency in Linux, with a solid background in its use and administration. Familiarity with open-source development practices and active engagement within relevant open-source communities. Strong English language skills, both in written and verbal communication. Capability to effectively collaborate and communicate in a fully distributed online work environment. Desired Skills Beneficial experience with Continuous Integration (CI) tools such as Jenkins, LAVA, and GitLab CI, and proficiency in testing frameworks like Piglit, GL/Vulkan CTS, and dEQP. Strong aptitude for self-learning to acquire a comprehensive understanding of our clients services, business model, project delivery life cycle, and other associated technical domains. A Bachelor's degree (BS/BA) or relevant experience in an Engineering role.

This role is for a senior graphics algorithm expert with a strong background in real-time rendering algorithms on GPU, or a background in other advanced use of graphics and rendering algorithms to join a team working at the forefront of 3D graphics algorithm development. The successful candidate will propose new ideas and develop new algorithms for real-time rendering applications, especially for 3D games. You should have a strong understanding of graphics algorithms used in game engines (Unreal, Unity), e.g., deferred shading/lighting, physics based rendering, advanced image processing, voxel-based global illumination, screen space reflection, occlusion culling, shadow algorithms, anti-aliasing algorithms, etc. Experience in global illumination and ray tracing is also important. Key Responsibilities: Propose new ideas and develop new graphics/rendering algorithms for mobile GPU. Analyze GPU applications to generate performance/power improvement, profile and optimise rendering code and GPU shaders. Publish research papers or patents for new graphics algorithms. Technical lead for the graphic algorithm team. Required: BSc or MSc in relevant discipline (CS, EE, etc.). Extensive experience in implementing real-time rendering algorithms, ray tracing or global illumination algorithms. Excellent GPU shader programming skills using GLSL or HLSL, etc. Hands-on experience with one or more of the following graphics API: Vulkan, OpenGL, Metal, DirectX11 or 12 and/or OpenCL. Excellent programming skills using C or C++ Desired: PhD in relevant field Experience in rendering algorithms used in game engines (Unreal, Unity, CryEngine) is highly desirable.

As an Graphics (Android) SW Engineer you will: Develop innovations to optimise real-time rendering pipelines and deliver class-leading performance Implement standard features and extensions for the Android Graphics stack (SurfaceFlinger, SKIA, HWUI, etc.) Analyse different graphics workloads, identify bottlenecks and optimise for performance and power usage Develop optimal middleware libraries based on graphics and compute APIs (such as Vulkan & OpenGL ES) Bring-up and evaluate new devices, working with other teams to define and implement new UX requirements Have technical responsibility for one or more significant sections of an assigned project Translate complex functional and technical requirements into detailed design and implementation Skills and Qualifications Required Skills A degree in Computer Science, Electronics, Natural Science, Mathematics, Engineering or any related discipline (an equivalent period of industrial experience may be substituted) Expertise in computer graphics with experience in the design and development of middleware based on Vulkan (preferred), OpenGL ES, OpenGL or DirectX Understanding of computer graphics pipelines and modern mobile GPU architectures Expert proficiency in C and C++ programming languages A proven track record in real time embedded software development - preferably for mobile devices - with a good understanding of the latest development environments System level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user/kernel mode interaction) Excellent communication and team work skills, with a results-oriented attitude Proficiency in problem solving and debugging Desirable Skills Experience of SKIA graphics library Experience designing and implementing GPU shader algorithms (in GLSL, HLSL or equivalent) Experience developing system software for Android OS Experience working on GPU Drivers Experience designing and implementing image processing algorithms Experience working with ARM 64-bit architecture Familiarity with CPU/NPU hardware architectures Experience with Java and/or Python development Familiarity with ML and neural networks

The team design and develop test automation tools, performing manual testing when necessary. As a Test Automation Engineer, you will design and implement test tools to support QA and CX of products. You'll work closely with regional & global QA teams to ensure we deliver high-quality experiences and remove barriers to seamless service delivery. Role and Responsibilities Design, develop, and maintain automated test scripts and frameworks. Collaborate with software developers and QA engineers to identify test scenarios and automate repetitive test cases. Execute and monitor automated test suites and analyze results to identify and report defects. Optimize existing test automation processes to improve efficiency and coverage. Perform manual testing Skills and Qualifications Graduate with a degree or professional certificate in Computer Science, Software Engineering, or a related field. Familiarity with test automation tools (e.g., Selenium, Appium, Cypress). Basic understanding of programming languages Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively in a team. Portfolio to show above requirements

As a key member of our Avionics Team you will be responsible for the power subsystems for existing developments, from design to procurement and integration, and drive our spacecraft power designs for the future. Responsibilities System Engineering Provide power subsystem engineering, both high level architecture and detailed electronics design, from specification to integration Act as the technical point of contact on the Avionics subsystem with key stakeholders: internal project teams, customers, subcontractors. Perform requirements engineering (analysis, flow-up and down) related to spacecraft power systems, and the power interfaces of other on-board hardware Develop and maintain power subsystem architecture for missions Maintain spacecraft power budgets and parametric models for the power subsystem Analyse EMC constraints for power subsystem and identify mitigation measures Support the definition of power related test equipment Define validation, verification and test plans Support integration and test of power subsystem, including generation of reports Support flight operations Generate documentation for the full project lifetime (e.g. Design, Development and Verification Plan; FMEA; design review documentation; in-orbit subsystem operational procedures) Support to customer and project reviews Unit definition and procurement Write and support Requests for Proposals (RFPs) to external companies for avionics units reviewing responses and supporting down selections Provide subcontractor management and technical supervision for key hardware deliverables, both power units and supporting other avionics procurements Review and assess power electronics aspects of all spacecraft equipment supporting other disciplines Internal developments Support architecture and product development for future spacecraft power systems Contribute to detailed power electronics design for in-house developments Must Have BSc/MSc Degree in Power management, Electronics, Aerospace, Physics or similar 5+ years Power System and Electrical Engineering experience in a systems or power electronics role Experience of power electronics/subsystems in the space industry, including power conditioning and distribution, DC/DC converters, solar arrays, solar array regulation and drive mechanisms, battery management (battery charge/discharge regulators) End to end mission experience working as an Avionics engineer for space systems, performing design and analysis. Ability to work in a team and willingness to collaborate outside your immediate expertise Strong communication and analytical skills Knowledge of typical program lifecycles, with previous experience as an active contributor to key formal reviews (MDR, PDR, CDR, etc) Experience with spacecraft implementation phases to launch Nice to Have Experience of Avionics & Spacecraft electrical systems beyond the power subsystem Detailed understanding of power electronics analysis, design, build, and test Understanding of actuator and motor drive electronics Hands on electronics design and test experience, including fault diagnosis Experience with common space standards (ECSS, MIL, etc), and associated tailoring

A leading tech agency is seeking a skilled AI-focused professional for a 6-month contract role. Responsibilities include performance optimization and AI model integration in a hybrid environment. The ideal candidate will possess strong expertise in OS fundamentals, and proficiency in programming languages such as Python and Rust. A solid understanding of machine learning principles is essential. Position offers flexibility with remote work and a focus on collaboration within a multidisciplinary team.

Job Title: Senior Digital Design Engineer Location: UK, Germany, Denmark, Switzerland Job Type: Permanent Salary: DOE Role Overview We're an innovative leader in high-speed and energy efficient chip-chip link solutions critical to the evolution of the electronics industry. We are actively seeking a resourcefulDigital Design Engineer,based in either UK, Germany, Denmark or Switzerland. Key Responsibilities Define block- and top-level specifications for high-speed digital circuits that meet key performance targets based on system-level requirements. Review and challenge architectural specifications to ensure robustness and efficiency. Specify analog/digital interfaces in close collaboration with analog and mixed-signal design teams. Design, implement, and test RTL code. Collaborate closely with verification and physical implementation engineers to ensure functionality, timing, area, and power goals are met. Support post-silicon activities, including lab bring-up, debugging, characterization, and productization. Manage workload and schedules, providing regular updates to internal management and external customers. Skills Required Strong analytical ability to translate system-level requirements into design specifications. Hands-on design experience in PHY design for high-speed interfaces (e.g., USB4, PCIe) is preferred. Proficient RTL coding skills (SystemVerilog preferred). Advanced knowledge of high-speed and low-power design techniques. Familiarity with signal processing techniques is a plus. Proficiency in scripting and tool automation (Python, tcl, ). Solid understanding of clock domain crossing (CDC) issues and mitigation techniques. Experience analysing synthesis and static timing analysis (STA) results. Knowledge of verification methodologies, particularly UVM, is an advantage. Self-motivated, with a strong sense of ownership and accountability. Excellent communication and teamwork skills. Experience Required MSc in Electrical or Electronics Engineering (or equivalent/higher degree). 5+ years of experience in the semiconductor industry. Strong technical background in the design of high-speed digital circuits using advanced CMOS technologies. Exposure to analog design techniques is a plus. Familiarity with Cadence design tools is an advantage. If you would like to learn more about this opportunity, please contact me via or call me on .

Job Title: AI Engineer Location: West London, UK (Hybrid Working) Type: Contract (Inside IR35) Duration: 12 Months Brief: The team is committed to advancing AI-driven innovations in two key areas: developing AI-powered predictive healthcare solutions that integrate real-world health data from wearables, IoT devices, and medical records to enhance early disease detection and enable personalized health monitoring, and creating AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, with a particular focus on vision and cognitive support. The role within the team involves contributing to the development, implementation, and optimization of these AI solutions to ensure they meet user needs and drive meaningful impact in both healthcare and accessibility domains. Responsibilities: Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions for our products, leveraging multi-modal AI (text, image, audio). Adhere to data privacy regulations (GDPR, MDR, HIPPA, EHDS) and implement ethical AI practices. Requirements: A PhD in the related field with a good level of work experience, or a Master's Degree with extensive work experience in the related field. Good understanding of cardiovascular diseases, risk factors and clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient in hypothesis formulation, testing and correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA, EHDS). Ability to work with diverse teams and communicate technical insights effectively. Knowledge of Deep Learning, Reinforcement Learning and Federated Learning architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools. Expertise in XAI, bias mitigation and ethical AI practices for healthcare. Experience with text, image and audio AI for accessibility applications. If this sounds of interest, please apply here or reach out to

A leading semiconductor company is seeking a Senior Digital Design Engineer to define and implement digital circuit specifications. The ideal candidate will have a master's degree in Electrical or Electronics Engineering and over 5 years of experience in the semiconductor industry. Responsibilities include designing RTL code and collaborating with various engineering teams to ensure design efficiency. This position is based in the UK or other selected locations, offering a dynamic environment for innovation and technology advancement.

A tech company specializing in AI solutions is seeking an AI Engineer to develop innovative healthcare applications. The candidate will contribute to the creation of AI-driven personalized healthcare solutions and improve accessibility for individuals with disabilities. Expectations include strong expertise in machine learning, data analysis, and experience with health data processing. The position offers a hybrid working model in West London, with a focus on ethical and regulatory compliance in AI development.

A leading aerospace technology firm in Greater London is looking for an experienced avionics engineer to join their team. The role involves providing power subsystem engineering from design through to integration, including responsibilities in requirements analysis and stakeholder management. Candidates should hold a BSc/MSc and have over 5 years of experience in power systems for the space industry. Strong communication skills and the ability to collaborate effectively are essential for this role.

A Global, progressive leader in advanced CPU technologies are seeking a Chief Architect to join their team at a highly influential level to define and drive their ISA R&D activities. This is a high profile, influential role for them and they are looking for domain expert in ISAs with proven success in improving areas such as memory architecture, security architecture, and dpISA. This expert will play a crucial role in driving the innovation and evolution of ISA extensions, collaborating with cross-functional teams to research and develop cutting-edge technologies for the architecture roadmap. Key Responsibilities: Lead Architecture Design: Be the driving force in cutting-edge design, research, and maintenance of Arm ISA ISA Research & Development: Conduct advanced research on ISAs, tracking and recording new developments, innovations, and trends in the field. Memory & Security Architecture: Design and optimize advanced memory and security architectures , ensuring scalability, efficiency, and performance across various workloads. Technical Expertise: Lead the development of data processing ISAs (dpISA) such as SVE (Scalable Vector Extension) , SME (Scalable Matrix Extension) , SSE (Streaming SIMD Extensions) , AVX10 , etc. Collaboration: Work closely with engineering, product management, and cross-disciplinary teams to integrate new architectural components and align designs with product needs. Innovation: Be knowledgeable in current and future trends, bringing new vision and innovative ideas to architecture development ensuring the team works to adopt the latest and relevant advancements in the field. Leadership: Inspire and drive your team, enabling a collaborative environment Qualifications: Educational Background: A degree at university level or above in Computer Science, Electrical Engineering, or a related fields, or equivalent practical experience. Expertise in Arm Architecture or Equivalent ISAs: Extensive experience with Arm Instruction Set Architecture or other equivalent ISAs such as MIPS, Power or X86 (not RISC-V). In-depth knowledge of architecture specifications, design methodologies, and performance evaluation and optimization techniques. ISA Research & Development: Proven track record of research and development in ISAs, including maintaining and evolving architectural designs over time. Memory & Security Architecture Design: Strong experience in designing memory systems and security mechanisms, with a focus on scalability, performance, and reliability. dpISA Design Experience: Hands-on experience designing and optimizing data processing ISAs, such as SVE/SME, SSE, AVX10, or similar data processing instruction sets for high-performance computing. Leadership & Mentorship: Experience in leading and mentoring high-performing technical teams, providing guidance and fostering innovation in architectural research and development. Problem-Solving & Innovation: Strong analytical and problem-solving skills with the ability to create and implement innovative solutions to complex architectural challenges. Communication: Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders. Preferred Skills: Familiarity with advanced processor designs and architectures beyond traditional RISC and CISC approaches. Experience in the development of specialized architecture for cloud computing, edge computing, or embedded systems. Contributions to open-source or industry-standard architecture research projects. Experience working in multi-disciplinary teams and collaborating on large-scale, cross-functional projects. Please reach out to for a deeper insight into this position.

Position: Software Engineer - Visual Quality Location: London, United Kingdom About the Role: Are you a Python developer with a strong grasp of analytical thinking and structured problem-solving? Do you enjoy working on technically demanding challenges within a fast-paced and collaborative environment? This opportunity puts you at the forefront of cutting-edge video technology, contributing to solutions trusted by top-tier global organizations. You'll join a development team focused on building and maintaining automated testing platforms designed to assess visual performance in video systems. This role offers the chance to work with proprietary frameworks used to validate media compression tools. These systems are central to enhancing the effectiveness and credibility of the company's technological offerings. You'll work in a modern agile setting (Scrum methodology), directly influencing development roadmaps and collaborating with a wide array of professionals-from engineers to senior stakeholders. The company is a London-based leader in software and intellectual property, pioneering innovations in data and media compression using artificial intelligence and parallel computing techniques. The organization has built a significant portfolio (with over a thousand patents) and is actively engaged in advancing compression technologies across several industries. What You'll Be Doing: Enhance, expand, and maintain sophisticated in-house systems designed to test and evaluate media quality. Help plan new development tasks by breaking down project scopes, outlining requirements, and establishing test criteria. Track progress clearly, maintain documentation, and deliver consistent updates to internal stakeholders. Contribute to the selection of appropriate platforms and utilities for testing environments. Diagnose, analyze, and resolve issues found in testing frameworks. Execute comprehensive test campaigns across various scenarios to benchmark codec implementations. Review code contributions from other engineers within the test development team. Take part in agile meetings and planning sessions, ensuring continuous refinement and effective sprint execution. What We're Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP, and JSON, as well as containerization tools such as Docker. Effective communicator, capable of producing technical documentation and sharing regular progress insights. Previous involvement in Agile projects, using tools such as Jira for workflow and issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks-HTML, CSS, JavaScript, TypeScript, Node.js-is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using Behavior-Driven Development (BDD) tools such as Cucumber or Spock. Background in cloud environments like AWS or distributed system infrastructure. General understanding of network protocols and architecture. Prior experience with media encoding/decoding and video quality assessment methodologies. Proficiency in data science or analytics. Familiarity with mobile automation frameworks on Android and iOS platforms. Hands-on experience with UI test automation using frameworks like Cypress and JavaScript/TypeScript.

A leading aerospace company in Greater London is seeking a Senior AIV Engineer to facilitate critical Assembly, Integration, and Validation (AIV) activities for current and future missions. The role involves comprehensive planning, coordination, and execution of AIV tasks. The ideal candidate will possess a BSc/MSc in Aerospace or related fields, with at least 8 years of relevant experience. Proficiency in managing complex projects in a technical environment is essential, ensuring successful delivery in a collaborative and dynamic setting.

The Role As a Senior AIV engineer, you will play a key role in preparing and coordinating the Assembly, Integration, and Validation (AIV) activities for current and upcoming missions. You will be responsible for planning, coordinating, and executing the project's AIV activities, working closely with system and subsystem teams. Responsibilities AIV Planning & Coordination Develop AIV plans and coordinate activities across projects Plan resources and ensure readiness for test campaigns Oversee daily AIV operations and resolve issues Test Environment Management Contribute to roadmap, design, and implementation Manage hardware models and electrical layout Coordinate IT infrastructure and ensure integration of test bench components Processes & Continuous Improvement Maintain and improve AIV processes and methods Build scalable integration processes and drive testing improvements Provide technical leadership and training Subsystem & System Support Define and implement test strategy aligned with project needs Execute tests, troubleshoot issues, and manage non-conformances Present verification status at key milestones Must Have (BSc/MSc) Degree in Aerospace, Engineering, Physics or similar Min. 8years experience in AIV, ideally with full lifecycle involvement from planning to final delivery Familiarity with verification and validation processes, preferably in standard-driven developments Experience in managing complex technical activities Experience in the space domain (e.g. familiarity with one or several subsystems) is a plus Nice to have Think creatively to propose innovative designs while maintaining rigor and discipline Deliver on time with required quality, ensuring configuration management, reliability, and system availability Be agile, flexible, and eager to learn Collaborate effectively with multiple, diverse, and geographically distributed teams