Job Description
Step into the future with Nexus Quantum Dynamics as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Architect to design revolutionary systems that will redefine computational possibilities by 2026. Join our elite team at the intersection of physics, machine learning, and next-gen algorithms to solve humanity's most complex challenges.
In this pivotal role, you'll architect hybrid quantum-classical frameworks, optimize quantum neural networks, and lead research initiatives that push beyond classical computing limits. You'll collaborate with Nobel laureates, top-tier quantum physicists, and AI researchers in our state-of-the-art Austin facility, equipped with the world's most advanced quantum processors.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Lead development of hybrid quantum-classical neural networks for real-world applications
- Architect error-corrected quantum systems for scalable AI workloads
- Conduct frontier research in quantum machine learning and quantum-inspired AI
- Collaborate with hardware teams to co-design quantum processors optimized for AI tasks
- Mentor cross-functional teams in quantum computing principles and AI integration
- Publish breakthrough research in top-tier journals and industry whitepapers
Qualifications
- PhD in Quantum Physics, Computer Science, or AI with 5+ years of quantum computing experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane)
- Deep understanding of machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum AI
- Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
- Strong background in complex mathematical modeling and computational physics