Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we engineer the quantum-AI interface for 2026. We're seeking a visionary architect to design hybrid quantum-neural systems that will redefine computational boundaries. This role combines deep theoretical physics with cutting-edge machine learning to build tomorrow's reality today.
Our lab operates at the intersection of quantum computing, artificial general intelligence, and post-quantum cryptography. You'll collaborate with Nobel laureates and Turing Award winners to prototype solutions for climate modeling, drug discovery, and autonomous systems that will shape the next decade.
Responsibilities
- Design scalable quantum-AI architectures for enterprise deployment by 2026
- Lead R&D in quantum machine learning algorithms and error correction protocols
- Develop hybrid classical-quantum computing frameworks for real-world applications
- Establish security protocols for quantum-resistant blockchain networks
- Collaborate with hardware teams to optimize qubit coherence and entanglement
- Author whitepapers on quantum-AI convergence for industry standards
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum error correction
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of neural network architectures and transformer models
- Published research in Nature/Science journals on quantum-AI integration
- Experience with cryogenic quantum systems and photonic computing
- Certification in quantum security (e.g., IQM, Qiskit Advocate)