Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with Nobel laureates and shape the future of AI, cryptography, and materials science. Our Austin campus features state-of-the-art quantum labs and collaborative innovation spaces where your ideas will transform theoretical physics into practical applications.
At Nexus Labs, we believe quantum computing will solve humanity's most complex challenges—from climate modeling to personalized medicine. You'll lead cross-disciplinary teams to develop scalable quantum architectures while contributing to open-source quantum frameworks. We offer competitive compensation, comprehensive benefits, and a flexible hybrid work model designed for peak productivity and work-life integration.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures using superconducting and photonic systems
- Develop quantum error correction protocols for 100+ qubit systems
- Lead quantum algorithm optimization for machine learning and cryptography applications
- Collaborate with hardware teams to integrate quantum processors with classical computing infrastructure
- Publish research in top-tier quantum computing journals and conferences
- Mentor junior researchers in quantum physics and computational theory
- Drive quantum security initiatives for enterprise clients
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum error correction or topological quantum computing
- Experience with cryogenic quantum hardware systems
- Strong background in linear algebra, quantum information theory, and statistical mechanics
- Proven ability to lead technical teams in high-stakes research environments