Job Description
Join Nexus Quantum Labs 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 quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science through quantum supremacy.
Our dynamic team operates at the intersection of theoretical physics and cutting-edge engineering, collaborating with Nobel laureates and industry disruptors. You'll work in our state-of-the-art facility with access to quantum annealers, superconducting processors, and hybrid quantum-classical frameworks. We offer comprehensive benefits including equity, flexible work arrangements, and dedicated R&D time for personal innovation projects.
Responsibilities
- Architect scalable quantum computing solutions leveraging qubit coherence optimization
- Design hybrid quantum-classical algorithms for complex problem-solving in finance and logistics
- Lead integration of quantum error correction protocols into fault-tolerant systems
- Develop quantum machine learning frameworks for predictive modeling
- Collaborate with hardware teams on quantum processor design and cryogenic system optimization
- Research novel quantum algorithms for cryptography and cybersecurity applications
- Mentor cross-functional teams in quantum computing principles and implementation
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
- 5+ years experience in quantum algorithm development or quantum hardware design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum entanglement, superposition, and decoherence mitigation
- Published research in quantum computing or demonstrated breakthrough contributions
- Experience with quantum annealing (D-Wave) or superconducting qubit platforms
- Strong background in linear algebra, probability theory, and computational complexity