Job Description
Join Nexus Technologies as we pioneer the next frontier of computational intelligence. As a Quantum AI Systems Architect, you'll design and implement hybrid quantum-classical frameworks that solve previously impossible challenges. Our Austin-based innovation lab offers unprecedented resources to transform theoretical breakthroughs into real-world applications. This role sits at the intersection of quantum mechanics, machine learning, and distributed systems architecture, offering unparalleled opportunities to shape humanity's technological trajectory.
Responsibilities
- Architect scalable quantum-classical computing pipelines for 2026-era AI applications
- Design fault-tolerant quantum neural networks with error correction protocols
- Lead development of quantum-optimized machine learning algorithms
- Collaborate with Nobel laureates on next-gen quantum hardware integration
- Develop patent-pending hybrid computing frameworks for enterprise clients
- Mentor cross-functional teams in quantum machine learning principles
- Publish breakthrough research in top-tier journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years designing quantum algorithms or hybrid quantum-classical systems
- Expertise in Qiskit, Cirq, or equivalent quantum development frameworks
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum information theory
- Proficiency in high-performance computing architectures (HPC, GPU clusters)
- Experience securing $1M+ in quantum computing research grants