Job Description
Join Nexus Future 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 hybrid role combines deep technical expertise with strategic foresight, requiring you to bridge theoretical physics and practical implementation. You'll collaborate with Nobel laureates, build fault-tolerant quantum processors, and develop algorithms that solve previously impossible problems in cryptography, materials science, and AI optimization.
Our state-of-the-art quantum lab in downtown San Francisco offers unparalleled resources including 128-qubit processors, cryogenic engineering suites, and dedicated quantum annealing facilities. As part of our elite Future Systems Division, you'll shape how humanity harnesses quantum advantage in the coming decade.
Responsibilities
- Design scalable quantum processor architectures with fault-tolerance capabilities
- Develop quantum error correction protocols for commercial applications
- Create hybrid quantum-classical computing workflows for enterprise clients
- Lead R&D initiatives in topological qubit stabilization and coherence optimization
- Collaborate with hardware teams to integrate quantum modules into classical systems
- Define quantum security frameworks for post-quantum cryptography standards
- Pioneer quantum machine learning algorithms for 2026-era data challenges
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Published research in quantum error correction or topological computing
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proven experience with quantum circuit optimization and noise mitigation
- Strong background in superconducting qubit systems or ion trap technologies
- Deep understanding of quantum complexity theory and computational advantage
- Experience leading cross-disciplinary technical teams in R&D environments