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Photonic Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🔧 Hardware

📡 Telecommunications

🔬 Science

Hardware • Telecommunications • Science

Photonic Inc. is developing commercial-scale, fault-tolerant quantum computers and quantum networking based on its Entanglement First™ architecture. The company uses silicon-based T centre spin-photon qubits to enable high connectivity, distributed quantum computing, and efficient error correction for scalable, modular systems. Photonic offers quantum computing systems and cloud-accessible services (including via Microsoft Azure), and aims to integrate quantum secure networking (QKD and repeaters) into communications infrastructure for governments, telecoms, and financial institutions.

📋 Description

• Identify high-value opportunities to apply AI, ML and DL across Photonic’s technical workflows, with a focus on research, development and engineering. • Lead engineers through the design, prototyping, development and deployment of AI-enabled tools that support quantum and other technical workflows. • Prioritize AI initiatives based on technical feasibility, business value, adoption potential, and risk. • Establish evaluation methods and benchmarks to determine whether AI solutions are accurate, useful, and trustworthy in production settings. • Partner with scientists, engineers, and technical leaders to understand difficult problems and determine where AI, ML and DL can materially improve outcomes. • Integrate AI capabilities into existing software platforms, engineering workflows, and technical processes where appropriate. • Advise technical opportunities, tradeoffs, risks, and outcomes clearly to both technical and non-technical stakeholders. • Help shape AI standards, governance, and safe usage practices in partnership with relevant stakeholders. • Mentor teams in the practical use of AI methods, tools, and workflows.

🎯 Requirements

• Graduate degree in Computer Science or Engineering or Physics with a focus on AI, ML, or DL, or the equivalent combination of education and experience. • Deep understanding of modern neural network architectures and model families and when each is appropriate for different problem classes. • 5+ years of experience developing, improving and applying AI/ML/DL models within scientific computing, advanced engineering, semiconductor, quantum, or similar technical environments. • Experience applying AI/ML/DL models for optimization, search, simulation-driven workflows, or design space exploration (DSE). • Experience with secure enterprise AI deployment, model evaluation, and AI governance. • Strong software engineering background with experience designing and delivering production-quality systems. • Demonstrated ability to work effectively in ambiguous, research-heavy, or technically complex environments. • Excellent communication skills, including the ability to clearly explain complex technical concepts to senior technical talent. • Outstanding collaboration skills and the ability to build credibility across diverse technical teams. • Nice to have – experience with any of the following: group algebra, group theory, graph theory, representation theory, quantum error correction, quantum compiling.

🏖️ Benefits

• Work closely with some of the brightest innovators in quantum technologies to drive breakthroughs that redefine computing • Enjoy a fast-paced and fun environment where you can try new things while solving innovative challenges every day • Inclusive company culture that values collaboration • Regular social events and fun activities keep our global team connected • Competitive compensation package including base salary, stock options, and relocation assistance for global talent • Comprehensive benefits including extended health, dental, life, long term disability, an employee assistance program, parental leave top-ups, and a flexible spending account