Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum Infrastructure Architect to design the backbone of tomorrow's computational landscape. This role demands a blend of theoretical physics expertise and hands-on quantum systems engineering to build scalable, fault-tolerant quantum networks by 2026. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay.
Our team operates at the intersection of quantum mechanics, distributed systems, and AI-driven optimization. We offer competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements. This position includes annual innovation sabbaticals and access to our proprietary quantum simulation platforms.
Responsibilities
- Design fault-tolerant quantum computing architectures with 99.9% qubit coherence
- Lead development of quantum-classical hybrid systems for enterprise applications
- Implement quantum-safe cryptographic protocols for next-gen security
- Optimize quantum error correction algorithms using machine learning frameworks
- Architect scalable quantum networks with 100+ node entanglement distribution
- Collaborate with AI teams to develop quantum-accelerated optimization algorithms
- Document quantum system specifications using proprietary QASM standards
- Mentor junior quantum engineers in cutting-edge stabilization techniques
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or related field (or equivalent experience)
- 5+ years building quantum annealing or superconducting qubit systems
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency with Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum cryptography or distributed quantum systems
- Experience with cryogenic engineering and quantum hardware integration
- Deep understanding of quantum decoherence mitigation strategies
- Strong background in parallel computing and distributed systems