Silicon spin-qubit quantum computing and networking hardware developer
Photonic builds quantum computing and networking hardware on silicon spin qubits, with a stack spanning photonic simulation (Lumerical, Tidy3D), RF/EM tools (HFSS, COMSOL), PCB design (Altium, Cadence) and in-house lithography. Hiring is accelerating and unusually VP-heavy, while job posts center on moving from R&D prototypes to manufacturable, audit-ready product delivery, which points to a company building out its leadership layer ahead of commercialization.
Photonic Inc. is a privately held quantum technology company founded in 2016 and headquartered in Coquitlam, British Columbia. It develops distributed, fault-tolerant quantum computing systems based on silicon spin qubits, paired with a networking interface native to telecom wavelengths. The company employs 51–200 people and currently hires in Canada. Its work spans nanofabrication, optical packaging, firmware, software and system architecture, and it runs business operations on NetSuite, Concur, Hibob and Microsoft Azure.
Photonic uses Lumerical, Tidy3D, HFSS, COMSOL and KLayout for photonic and EM design, Altium and Cadence for electronics, Python, C++ and Rust for software, plus Jira, Confluence, Bitbucket, NetSuite and Azure.
Yes. Hiring at Photonic is accelerating and concentrated in engineering, with a strong emphasis on VP-level leadership roles, plus openings in HR, finance, nanofabrication, operations and product, all in Canada.
Photonic is developing optical sub-systems for its quantum computing roadmap, optical packaging for integrated photonic devices, test station automation, system architecture and delivery of its spin-qubit technology.
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Photonic Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.