Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We seek a visionary 2026 Quantum AI Research Scientist to architect breakthrough systems that will redefine computational paradigms. This role offers unparalleled opportunity to shape the technological landscape of the coming decade in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and implement quantum neural networks for 2026-era computational challenges
- Lead cross-functional teams to develop quantum-resistant AI algorithms
- Conduct cutting-edge research in quantum machine learning optimization
- Collaborate with hardware teams on quantum-AI hybrid system architectures
- Publish breakthrough research in top-tier quantum computing journals
- Develop patent-pending methodologies for quantum-AI integration
- Mentor junior researchers in emerging quantum-AI paradigms
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven expertise in deep learning architectures (transformers, GNNs, diffusion models)
- Published research in quantum-AI integration or quantum machine learning
- Strong background in quantum error correction and fault tolerance
- Experience with high-performance computing and distributed quantum systems
- Ability to translate complex quantum concepts into actionable engineering solutions