Job Description
Join NexusLabs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine industries. In this pivotal role, you'll architect fault-tolerant quantum processors, develop hybrid quantum-classical algorithms, and lead cross-functional teams to solve humanity's most complex challenges. Our state-of-the-art lab offers unparalleled resources to push the boundaries of quantum supremacy.
This position is ideal for innovators who thrive at the intersection of theoretical physics and practical application. You'll collaborate with Nobel laureates, publish groundbreaking research, and directly impact the quantum landscape. We offer competitive equity packages, flexible work arrangements, and dedicated R&D time for personal projects.
Responsibilities
- Design scalable quantum computing architectures using superconducting and photonic qubit systems
- Develop error correction protocols achieving >99.9% fidelity for 1000+ qubit processors
- Create hybrid quantum-classical algorithms for optimization and simulation problems
- Lead cross-functional teams of physicists, engineers, and software developers
- Drive quantum security implementations for post-quantum cryptography standards
- Publish peer-reviewed research and present at major quantum conferences
- Maintain compliance with NIST quantum security frameworks
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing architecture or quantum algorithm development
- Expertise in quantum error correction and fault-tolerant design
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in superconducting qubit systems or photonic quantum processors
- Published research in quantum computing or quantum information theory
- Demonstrated experience leading technical teams in R&D environments
- Familiarity with quantum machine learning frameworks