Job Description
Join QuantumLeap Dynamics at the forefront of 2026's quantum revolution. We're pioneering the next generation of computational architectures that will redefine global technology landscapes. As a Quantum Computing Architect, you'll design and implement fault-tolerant quantum systems that solve previously impossible problems in cryptography, materials science, and artificial intelligence. Our cutting-edge lab collaborates with NASA, MIT, and global Fortune 500 leaders to develop quantum-resistant infrastructure for the post-classical computing era.
This role offers unparalleled opportunities to shape the technological paradigm shift of the decade. You'll work with our Nobel Prize-winning research team in a state-of-the-art facility equipped with 1000-qubit quantum processors. We provide comprehensive benefits including equity packages, flexible hybrid work arrangements, and dedicated R&D funding for your breakthrough projects.
Responsibilities
- Design scalable quantum circuit architectures for enterprise-level applications
- Develop error-correction protocols for fault-tolerant quantum computation
- Lead cross-functional teams in building hybrid quantum-classical systems
- Research and implement novel quantum algorithms for optimization problems
- Collaborate with hardware teams to co-design quantum processors
- Create security frameworks for quantum-resistant communication networks
- Present architectural blueprints to C-suite executives and investors
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience in quantum computing architecture or quantum information theory
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in peer-reviewed quantum computing journals
- Expertise in quantum error correction and topological quantum computing
- Experience leading technical teams in high-stakes R&D environments
- Deep understanding of NISQ-era limitations and fault-tolerant roadmap
- Certification in quantum cryptography or quantum machine learning