Job Description
Join NexusLabs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. In this pivotal role, you'll architect fault-tolerant quantum processors, develop error correction protocols, and lead breakthrough research in quantum algorithms. Our Austin-based innovation hub offers unparalleled resources for translating theoretical breakthroughs into real-world applications across cryptography, materials science, and AI optimization.
As a key member of our Quantum Futures division, you'll collaborate with Nobel laureates, industry disruptors, and government agencies to shape the post-classical computing landscape. We provide competitive equity packages, flexible R&D budgets, and access to our 500-qubit quantum testbed. This is your opportunity to architect the computational backbone of tomorrow's digital economy.
Responsibilities
- Design scalable quantum processor architectures with fault-tolerant capabilities
- Develop quantum error correction codes achieving >99.9% fidelity
- Create hybrid quantum-classical computing frameworks for industrial applications
- Lead cross-disciplinary research teams in quantum algorithm optimization
- Establish security protocols for quantum-resistant cryptographic systems
- Partner with hardware teams to translate theoretical models into physical implementations
- Publish breakthrough research in peer-reviewed quantum computing journals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years developing quantum computing architectures or quantum algorithms
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in top-tier quantum computing conferences/journals
- Experience with superconducting or photonic quantum hardware
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, quantum mechanics, and computational complexity