Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum mechanics with artificial intelligence, solving previously unsolvable challenges in cryptography, materials science, and complex system optimization. Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources, including 128-qubit quantum processors and exclusive partnerships with leading AI research institutions.
What You'll Achieve:
You'll lead breakthrough research in quantum machine learning, develop hybrid quantum-classical frameworks, and publish in top-tier journals while mentoring a team of world-class researchers. Your work will directly impact our flagship projects: quantum-secure blockchain networks and AI-driven drug discovery platforms.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Develop proprietary quantum error correction protocols for large-scale deployments
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Secure research funding through NSF and DARPA grant applications
- Mentor junior researchers and publish 3+ peer-reviewed papers annually
- Participate in global quantum computing standards committees
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years of hands-on quantum algorithm development
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with quantum hardware (IBM Q, Rigetti, IonQ) or simulators
- Demonstrated ability to secure competitive research grants