Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to pioneer next-generation computational paradigms that will redefine industries. Our Austin-based hub combines cutting-edge quantum labs with AI innovation centers, offering unparalleled resources to transform theoretical concepts into real-world breakthroughs. You'll lead a multidisciplinary team of physicists and machine learning experts in developing hybrid quantum-neural systems capable of solving previously unsolvable problems.
As a cornerstone of our Quantum Future Division, you'll shape the infrastructure for tomorrow's AI-powered quantum networks. We provide competitive equity packages, flexible work arrangements, and access to our state-of-the-art Quantum Research Facility. This role offers the rare opportunity to build the computational backbone of 2026's digital landscape.
Responsibilities
- Design and implement hybrid quantum-classical AI systems for enterprise-scale applications
- Lead quantum algorithm development for machine learning acceleration and optimization
- Architect secure quantum communication protocols for distributed AI networks
- Collaborate with cross-functional teams to integrate quantum computing solutions into existing AI frameworks
- Drive innovation in quantum error correction and fault-tolerant computing architectures
- Mentor junior researchers and publish breakthrough findings in leading scientific journals
- Develop roadmap for quantum-AI integration across industry verticals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years of research experience
- Expertise in quantum algorithms, quantum machine learning, and quantum error correction
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and AI development stacks
- Published research in top-tier quantum/AI journals or conference proceedings
- Experience with large-scale distributed computing systems and quantum hardware interfaces
- Strong background in computational complexity theory and quantum information theory
- Demonstrated ability to lead cross-disciplinary technical teams and projects