Job Description
Join Nexus Quantum Labs at the forefront of the 2026 technological revolution as an AI Quantum Integration Architect. We're seeking a visionary specialist to pioneer hybrid AI-quantum systems that will redefine computational boundaries. This role demands expertise in bridging classical machine learning with quantum computing paradigms to solve previously unsolvable problems in cryptography, materials science, and climate modeling. You'll lead cross-disciplinary teams in developing fault-tolerant quantum neural networks while ensuring ethical deployment and security protocols. If you thrive at the intersection of theoretical physics and applied AI, this is your opportunity to shape the future of human technology.
Responsibilities
- Design and implement hybrid AI-quantum algorithms leveraging 50+ qubit processors
- Develop quantum-enhanced machine learning models for real-time data analysis
- Lead security audits for quantum-resistant cryptography systems
- Collaborate with hardware teams to optimize quantum error correction protocols
- Research novel applications in quantum natural language processing
- Create integration frameworks for classical-quantum hybrid cloud infrastructure
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years developing quantum algorithms or ML systems at scale
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum programming
- Experience with quantum cloud platforms (IBM Quantum, Amazon Braket)
- Demonstrated understanding of quantum error correction and fault tolerance