Job Description
Shape the future of computational intelligence at Nexus Quantum Dynamics. We're seeking a pioneering Quantum AI Integration Specialist to architect hybrid systems that merge quantum computing with machine learning. Join our elite R&D team in San Francisco as we redefine technological boundaries in 2026. You'll develop groundbreaking algorithms for optimization, cryptography, and simulation while collaborating with Nobel laureates and industry disruptors. This role offers unparalleled opportunities to publish research, secure patents, and lead projects that will influence global tech infrastructure.
Responsibilities
- Design and implement quantum-classical hybrid AI architectures for enterprise-scale problems
- Develop error-corrected quantum neural networks for real-time data processing
- Create optimization algorithms for supply chain logistics and financial modeling
- Lead cross-functional teams in prototyping quantum-ML pipelines using Qiskit and Cirq
- Author white papers and patents on quantum-AI convergence methodologies
- Collaborate with hardware teams to validate quantum processor integrations
- Present findings at IEEE Quantum Computing Summits and NeurIPS workshops
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years experience in quantum algorithm development (Shor's, Grover's, VQE)
- Proficiency in Python/C++ with quantum frameworks (Qiskit, PennyLane, D-Wave)
- Published research in Nature/Science journals on quantum-AI hybrid systems
- Expertise in tensor networks and quantum error correction codes
- Experience with cloud quantum platforms (Amazon Braket, IBM Quantum)
- Strong background in reinforcement learning and deep learning architectures