Job Description
Join the forefront of technological revolution at Nexus Quantum Technologies as we pioneer the quantum computing landscape of 2026. We're seeking visionary Quantum Systems Architects to design next-generation quantum neural networks that will redefine artificial intelligence, cryptography, and computational medicine. Our Austin hub is where theoretical physics meets scalable engineering, offering unparalleled resources to build the impossible. Collaborate with Nobel laureates and cutting-edge researchers in an environment that thrives on audacious innovation. Your work will directly impact breakthroughs in drug discovery, climate modeling, and secure global communications.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum labs. This is more than a role—it's your chance to architect the computational paradigm of tomorrow.
Responsibilities
- Design scalable quantum neural network architectures for 2026-era AI applications
- Develop fault-tolerant quantum error correction systems for industrial-scale deployment
- Lead cross-disciplinary teams in quantum-classical hybrid system integration
- Optimize quantum algorithms for real-time financial modeling and climate prediction
- Architect secure quantum-encrypted communication networks for global enterprises
- Pioneer quantum machine learning frameworks for autonomous systems
- Drive R&D initiatives in topological quantum computing platforms
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years developing quantum algorithms or quantum-classical hybrid systems
- Expertise in quantum error correction protocols and fault-tolerant architectures
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in top-tier quantum computing journals or conferences
- Experience leading technical teams in high-stakes R&D environments
- Deep understanding of NISQ-era limitations and 2026 quantum hardware roadmaps
- Strong background in computational complexity theory and quantum information theory