Multiverse ComputingAsegúrese de leer detenidamente la información sobre esta oportunidad antes de presentar su candidatura.Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.Our flagship products, CompactifAI and Singularity, address critical needs across various industries:CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.We’re committed to building a truly inclusive culture - come and join us.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 50–80%. 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.”As an FPGA Engineer, you will design and develop FPGA-based solutions to accelerate AI and optimization workloads. You will work closely with our software, quantum, and research teams to translate complex algorithms into efficient hardware implementations.This is a hands‑on engineering role with real impact on product performance.As FPGA Engineer you will also:Design and implement FPGA architectures using VHDL, Verilog, or SystemVerilog.Optimize algorithms for hardware accelerationWork with high-performance computing and AI workloadsTest, debug, and validate FPGA designsCollaborate with software and research teams to integrate FPGA solutionsImprove performance, latency, and power efficiencyRequired QualificationDegree in Electrical Engineering, Computer Engineering, or related fieldExperience developing FPGA designsStrong understanding of digital design fundamentalsExperience with tools such as:Xilinx VivadoIntel QuartusFamiliarity with high-speed interfaces and performance optimizationProblem‑solving mindset and ability to work in a research‑driven environmentExperience with AI, machine learning, or optimization algorithmsKnowledge of high-level synthesis (HLS)Experience with heterogeneous computing (CPU + FPGA)Perks & BenefitsCompetitive annual base salary, based on experience and qualifications.Two uniques bonuses: signing bonus at incorporation and retention bonus at contract completion.Relocation package (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.As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. xcskxlj The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.#J-18808-Ljbffr