Posted 4 days ago
Theory Lead
AI Summary
Leads the Theory & Applications team at C12 Quantum Electronics, defining the theory roadmap and driving hardware modeling, quantum error correction, and quantum algorithms for industrial applications.
About this role
Your role at C12 Quantum Electronics:
As Theory Lead at C12, you are expected to lead and coordinate the Theory & Applications team across three main areas:
Hardware Modeling
Quantum Error Correction
Quantum Algorithms for Industrial Applications
Key responsibilities:
You will define and drive the company’s theory roadmap, leveraging the expertise of team members to align with hardware development, business priorities and industrial quantum advantage opportunities
You will strengthen the company’s error correction strategy, from quantum error correction code benchmarking to implementation and fault-tolerance roadmap
You will drive co-design efforts between hardware and theory teams, working closely with domain experts to define scalable quantum computing architectures and long-term scalability strategies
You will recruit, mentor and structure the theory team as the company grows
You will establish collaborations with academia and research partners, and contribute to the scientific visibility and positioning of the company within the quantum ecosystem
You will prioritize research directions and resources by balancing scientific ambition, hardware feasibility and business impact, while building consensus across technical experts
About you:
Quantum Error Correction
Quantum Algorithms
You have a broad understanding of the quantum computing stack and ability to engage effectively with experts across theory and hardware domains
You have an architecture-level understanding of scalable quantum computing and fault-tolerant strategies
You have demonstrated scientific leadership, with the ability to articulate a vision, align experts and drive execution
You have an ability to connect theoretical developments with experimental and hardware constraints
Experience leading or mentoring research teams is highly appreciated
Experience working in startups or fast-pace private-sector environments is highly appreciated
Skills
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