Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration in 2026. We seek a visionary Quantum AI Systems Architect to design and deploy hybrid quantum-classical frameworks that will redefine computational boundaries. You will collaborate with Nobel laureates and lead a team of world-class researchers in our state-of-the-art Austin facility, where breakthroughs in quantum supremacy and machine learning convergence are daily realities. This role offers unparalleled opportunities to shape the future of artificial intelligence while contributing to humanity's most ambitious technological milestones.
What You'll Achieve:
- Architect scalable quantum neural networks for enterprise-level AI applications
- Develop fault-tolerant quantum algorithms that solve previously impossible computational challenges
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Drive innovation in quantum machine learning and optimization techniques
- Contribute to open-source quantum frameworks that will power the 2026 technological landscape
Responsibilities
- Design and implement quantum-AI system architectures using Qiskit, Cirq, and custom frameworks
- Optimize quantum circuits for real-time machine learning inference in production environmentsLead research initiatives in quantum error correction and decoherence mitigation
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Develop proprietary quantum machine learning models for predictive analytics and autonomous systems
- Present breakthrough findings at premier conferences (QIP, NeurIPS, etc.)
- Mentor junior researchers in quantum computing principles and AI integration
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
- Proven expertise in quantum algorithm design and quantum machine learning frameworks
- Proficiency in Python, C++, and quantum programming languages (QASM, OpenQASM)
- Demonstrated experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
- Published research in top-tier journals (Nature, Science, etc.) on quantum-AI integration
- Strong background in tensor networks and quantum simulation techniques
- Experience leading technical teams and managing complex R&D projects
- Deep understanding of quantum hardware limitations and optimization strategies