FPGA Engineer

About Multiverse Computing

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.

Position

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

Your 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)

What we offer

• Competitive commission structure and signing bonus.

• Indefinite contract with equal pay guaranteed.

• Private health insurance fully covered by the company.

• Flexible working hours.

• Work in a high-paced environment on cutting-edge technologies at the intersection of AI and Quantum Computing.

Additional details

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.