Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to design next-generation quantum computing frameworks that will redefine artificial intelligence. This hybrid role bridges quantum physics, machine learning, and high-performance systems engineering in a cutting-edge R&D environment. You'll lead the development of quantum neural networks and hybrid quantum-classical AI models while mentoring a multidisciplinary team of physicists and AI specialists. Our state-of-the-art lab offers access to quantum annealers, superconducting processors, and photonic quantum systems. If you're passionate about solving humanity's grandest challenges through quantum-AI convergence, this is your moment to shape the future.
Responsibilities
- Design scalable quantum-AI architectures leveraging 256+ qubit processors and photonic interconnects
- Develop hybrid quantum-classical machine learning frameworks for real-world optimization problems
- Lead quantum algorithm development for drug discovery, climate modeling, and materials science
- Implement quantum error correction protocols for fault-tolerant AI systems
- Collaborate with quantum hardware teams to co-design AI-optimized quantum processors
- Author whitepapers and patents for novel quantum-AI methodologies
- Mentor cross-functional teams in quantum machine learning best practices
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane) and Python/C++
- Published research in quantum-AI convergence or top-tier quantum computing conferences
- Experience with quantum cloud platforms (IBM Quantum, Amazon Braket, Azure Quantum)
- Strong background in high-performance computing and distributed systems
- Demonstrated ability to lead technical teams through complex R&D projects