Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer quantum-AI fusion systems. We seek a visionary architect to design next-gen infrastructure that bridges quantum computing with advanced machine learning. This role demands expertise in scalable architectures, quantum-resistant cryptography, and AI model optimization for hybrid quantum-classical environments.
Our Austin innovation hub offers cutting-edge labs, flexible hybrid work arrangements, and unparalleled opportunities to shape humanity's computational future. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical breakthroughs become practical realities.
Responsibilities
- Design and implement quantum-AI hybrid infrastructure architectures for enterprise-scale deployments
- Develop quantum-resistant security protocols for 2026-era data ecosystems
- Optimize machine learning models for quantum acceleration and classical-quantum interfaces
- Create scalability blueprints supporting 10,000+ qubit systems by 2026
- Lead cross-disciplinary teams in prototyping next-gen computational paradigms
- Architect fault-tolerant quantum computing solutions with 99.999% reliability
- Research emerging quantum hardware breakthroughs and translate into infrastructure designs
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit optimization
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in distributed systems, Kubernetes, and cloud-native deployments
- Published research in quantum machine learning or quantum-computing hybrid systems
- Experience with AI model optimization for GPU/TPU acceleration
- Certification in quantum security protocols (e.g., NIST post-quantum standards)