Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to design next-generation hybrid quantum-AI frameworks that will redefine computing paradigms. This role offers unparalleled opportunities to shape humanity's digital future while working in Austin's vibrant innovation ecosystem.
What You'll Achieve: Lead the development of fault-tolerant quantum neural networks, pioneer quantum-secure blockchain protocols, and architect AI systems that leverage quantum advantage for real-world applications in medicine, logistics, and climate modeling.
Why Nexus Quantum Labs? We offer competitive equity packages, flexible hybrid work arrangements, and access to our $500M quantum research facility. Our team includes Nobel laureates and Turing Award winners committed to pushing computational boundaries.
Responsibilities
- Design and implement scalable quantum-AI hybrid systems using Qiskit and TensorFlow Quantum
- Develop quantum-secure cryptographic protocols for post-quantum internet infrastructure
- Lead cross-disciplinary teams of physicists, computer scientists, and AI specialists
- Research and prototype novel quantum algorithms for machine learning optimization
- Architect fault-tolerant quantum computing architectures using topological qubits
- Collaborate with NASA and MIT on quantum computing applications for space exploration
- Publish findings in Nature Quantum Information and IEEE journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum machine learning and variational quantum algorithms
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks
- Demonstrated experience with quantum error correction and fault-tolerant systems
- Publication record in top-tier quantum computing or AI conferences
- Strong background in topology, algebraic geometry, or quantum information theory
- Experience leading R&D teams with $10M+ project budgets