Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! As we prepare for the technological landscape of 2026, we're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine industries. You'll lead breakthrough projects in cryptography, AI optimization, and molecular modeling while collaborating with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical physics into practical solutions that will shape humanity's digital future.
This role offers competitive equity, unlimited learning stipends, and the opportunity to patent revolutionary algorithms. If you're passionate about solving problems deemed impossible by classical computing, apply now to become a cornerstone of our 2026 innovation roadmap.
Responsibilities
- Design and implement scalable quantum computing architectures for enterprise applications
- Lead cross-functional teams in developing quantum algorithms for 2026-era challenges
- Optimize quantum circuit performance through error correction and qubit stabilization techniques
- Collaborate with hardware engineers to bridge quantum software-hardware integration gaps
- Develop security frameworks for quantum-resistant cryptography systems
- Research and prototype novel quantum applications in materials science and drug discovery
- Present breakthrough findings at international quantum computing conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
- 5+ years of experience in quantum algorithm development or quantum system architecture
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Demonstrated expertise in quantum error correction and fault-tolerant computing
- Published research in peer-reviewed quantum computing journals
- Experience with superconducting qubits or ion trap systems
- Strong background in linear algebra, probability theory, and computational complexity