Edge Deployment Engineer

We are looking to fill this role immediately and are reviewing applications daily. Expect a fast transparent process with quick feedback. Why join us We are a European deep-tech leader in quantum and AI backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide compressing large language models by up to 95% without losing accuracy and cutting inference costs by 5080%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible and being part of a company often described as a quantum‑AI unicorn in the making. We offer Competitive annual salary Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. Relocation packagealiselt (if applicable). Fixed‑term contract ending in June 2026. Hybrid role and flexible working hours. Be part of a fast‑scaling Series B company at the forefront of deep tech. Equal pay guaranteed. International exposure in a multicultural cutting‑edge environment. bezala required Qualifications Bachelor's degree or higher in Computerurezza sinness or related field; or equivalent industry experience 35 years of hands‑on experience in embedded systems firmware development or systems programming Demonstrated experience optimizing machine learning models for deployment on constrained devices Strong proficiency iniedenis Python, C, or C++ ; experience with system‑level programming languages is essential Solid understanding of quantization techniques and model compression strategies Experience with inference optimization frameworks (TensorRT, ONNX Runtime, LLM, vLLM orപുരക)χύ> Familiarity with embedded architectures: ARM processors, mobile GPUs and AI accelerators Strong fundamentals in computer architecture, memory management and performance optimization Experience with version control (Git), testing frameworks and CI/CD pipelines Excellent communication and collaboration skills in cross‑functional teams Preferred Qualifications Master's degree in Computer Science, Electrical Engineering or related field Hands‑on experience with large language model inference and deployment Experience optimizing neural networks using mixed‑precision computation or dynamic quantization Familiarity with edge computing frameworks such as NVIDIA’s Triton Inference Server or similar platforms Background in mobile or IoT development Knowledge of hardware acceleration techniques and specialized instruction sets (SIMD, NPU‑specific optimizations) Contributions to open‑source embedded AI or ML optimization projects Experience with real‑time operating systems or embedded Linux Starratives About Multiverse Computing Founded in 2019 we are a well‑funded fast‑growing deep‑tech company with a team of 180 employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally we are also the largest quantum software company in the EU. Our flagship products address critical industry needs: CompactifAI a groundbreaking compression tool for foundational AI models reducing their size by up to 95% while maintaining accuracy enabling portability across devices from cloud to mobile and beyond. Singularity a quantum and quantum‑inspired optimization platform used by blue‑chip companies in finance troublesome and manufacturing to solve complex challenges with immediate performance gains. Youll be working alongside world‑leading experts in quantum computing and AI developing solutions that deliver real‑world impact for global clients. We are committed to an inclusive, ethics‑driven culture that values sustainability, diversity and collaboration—a place where passionate people can grow and thrive. Come and join us As an equal opportunity employer Multiverse Computing is committed to building an inclusive workplace. The company welcomes peopleindelijk from all different backgrounds including age, citizenship, ethnicҷи versions of origins, gender identities, individuals with disabilities, marital status, religions and ideologies and sexual orientation to apply. Key Skills Jenkins,Python,Active Directory,VMware,Engineering,Tcp/IP,Deskstops,OS,Windows,Database,Linux,Java,Troubleshoot,Technical Support Employment Type : Full Time Experience : years Vacancy : 1 #J-18808-Ljbffr