Electronic Engineer

ORCA Computing (“ORCA”) is at the forefront of a new era in high-performance computing, developing full-stack photonic quantum systems designed to transform how organizations tackle machine learning, generative AI, and complex optimization challenges. Headquartered in London, ORCA has delivered eleven on-premises quantum computers worldwide – demonstrating that its technology is not theoretical but already delivering real world results.

At the core of ORCA’s innovation is its hybrid quantum-classical architecture, engineered for seamless integration into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic integrated circuits, quantum memory, and multiplexing technologies, ORCA is enabling enterprises, research institutions, and HPC operators to unlock new levels of performance, efficiency, and scalability.

As ORCA prepares to launch its next-generation PT-3 system, the company is entering a pivotal phase of growth and technological advancement. Its solutions are already being embedded into generative AI pipelines, delivering measurable improvements in model performance, while also addressing the rising energy demands of large-scale AI adoption. With a focus on practical deployment and a clear roadmap to fault-tolerant quantum computing, ORCA is leading the development and deployment of quantum technology, providing a commercially viable path to the future of computing.

This is a hands-on hardware engineering role at the heart of ORCA’s R&D team, working directly on the development of the PT-Series – our photonic quantum computing platform designed to accelerate AI and machine learning workloads. You’ll work across the full hardware development cycle, from early concept through to validated, production-ready designs, collaborating closely with physicists, optical engineers, and software developers to bring genuinely novel hardware to life.

• Design and develop analogue and mixed-signal circuitry for precision quantum photonic hardware, covering signal conditioning, low-noise amplification, DAC interfaces, and driver electronics for opto-electronic components.
• Own the PCB design process for your modules: schematic capture, layout, design review, and iteration through to a working, characterised board.
• Work hands-on in the lab: characterise your designs using oscilloscopes, spectrum analysers, signal generators, and other bench equipment to verify performance and debug issues systematically.
• Collaborate with the software team to define hardware/software interfaces and support integration of your electronics into the wider PT-Series system.
• Support EMC and regulatory compliance work as hardware matures toward product-ready status.
• Document your designs thoroughly: schematics, test reports, design reviews, and specifications so the wider team can build on your work.
• Work cross-functionally with physics, optics, and software teams to understand system-level requirements and translate them into practical electronic designs.

• A degree in electronic engineering, electrical engineering, physics, or a closely related discipline.
• 2 – 4 years of professional experience in hardware or electronics engineering (industry experience preferred; strong academic laboratory research will also be considered).
• Solid understanding of analogue and mixed-signal design principles: amplification, filtering, signal conditioning, low-noise techniques, and ADC/DAC interfacing.
• Hands-on PCB design experience, including simulation, schematic capture and layout using tools such as SPICE, Altium Designer, KiCAD, or equivalent.
• Comfortable using standard bench instruments to bring up, debug, and characterise electronic hardware.
• Some experience with or understanding of embedded firmware and microcontroller-based systems.
• A methodical, practical approach to design and debugging, you run structured experiments,…