Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Architect to design next-gen quantum systems that solve previously unsolvable problems. This role combines deep technical expertise with strategic innovation, offering unparalleled opportunities to shape the future of computation. Our state-of-the-art facility in downtown San Francisco provides an environment where breakthroughs happen daily.
As a key member of our Quantum Research Division, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum processors. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity. This is your chance to build the technological foundation for the next decade of human progress.
Responsibilities
- Design scalable quantum computing architectures with 100+ qubit capabilities
- Develop quantum algorithms for optimization, cryptography, and machine learning applications
- Lead cross-functional teams of physicists and software engineers in prototype development
- Establish quantum error correction protocols for commercial deployment
- Collaborate with industry partners to identify quantum computing use cases
- Secure patents for novel quantum methodologies and hardware designs
- Present breakthrough findings at premier quantum computing conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience in quantum computing research or development
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in superconducting qubit technology or ion trap systems
- Published research in peer-reviewed quantum computing journals
- Experience leading technical teams in high-stakes R&D environments
- Knowledge of quantum security protocols and post-quantum cryptography