FPGA Engineer at MULTIVERSE COMPUTING

Zaragoza, Aragon, Spain -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

FPGA Design, VHDL, Verilog, SystemVerilog, Algorithm Optimization, High-Performance Computing, AI Workloads, Debugging, Validation, High-Speed Interfaces, Performance Optimization, Machine Learning, Optimization Algorithms, High-Level Synthesis, Heterogeneous Computing

Industry

Software Development

Description

Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. You’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. Come and join us. 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 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.” We offer Competitive annual base salary, based on experience and qualifications. Two unique 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 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 acceleration Work with high-performance computing and AI workloads Test, debug, and validate FPGA designs Collaborate with software and research teams to integrate FPGA solutions Improve performance, latency, and power efficiency Required Qualification Degree in Electrical Engineering, Computer Engineering, or related field Experience developing FPGA designs Strong understanding of digital design fundamentals Experience with tools such as: Xilinx Vivado Intel Quartus Familiarity with high-speed interfaces and performance optimization Problem-solving mindset and ability to work in a research-driven environment Experience with AI, machine learning, or optimization algorithms Knowledge of high-level synthesis (HLS) Experience with heterogeneous computing (CPU + FPGA) As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. 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.

Responsibilities

The FPGA Engineer will design and develop FPGA-based solutions to accelerate AI and optimization workloads, working closely with software, quantum, and research teams to translate complex algorithms into efficient hardware implementations. Responsibilities include designing and implementing FPGA architectures using hardware description languages, optimizing algorithms for hardware acceleration, and validating designs for integration.