Job Description
Join Nexus Quantum Dynamics at the forefront of technological revolution! We're seeking a visionary 2026 Quantum AI Architect to design and implement next-generation quantum-AI hybrid systems that will redefine computing paradigms. This role offers unparalleled opportunity to shape humanity's digital future in our state-of-the-art San Francisco lab.
As a pioneer in quantum-AI convergence, you'll collaborate with Nobel laureates and industry disruptors to build fault-tolerant quantum neural networks. Our team operates at the bleeding edge of quantum supremacy, with projects already demonstrating exponential speedups in machine learning optimization.
Responsibilities
- Design scalable quantum-AI architectures integrating qubit-based neural networks
- Lead development of hybrid quantum-classical computing frameworks
- Optimize quantum algorithms for real-world AI applications (NLP, drug discovery, climate modeling)
- Collaborate with quantum hardware teams to overcome decoherence challenges
- Establish ethical frameworks for quantum-AI decision systems
- Publish breakthrough research in top-tier journals (Nature, Science, etc.)
- Mentor junior researchers in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry experience)
- 5+ years developing quantum algorithms or neural network architectures
- Expertise in Python, Qiskit, TensorFlow Quantum, and CUDA
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in theoretical physics and computational complexity
- Proven ability to translate theoretical concepts into production systems