Job Description
Join the vanguard of technological revolution at Nexus Quantum Labs, where we're pioneering the next frontier of quantum-AI convergence in preparation for 2026. As a Quantum AI Research Scientist, you'll architect breakthrough solutions that merge quantum computing with artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art San Francisco campus offers unparalleled resources to transform theoretical concepts into transformative applications.
We're seeking visionary minds to develop quantum neural networks, optimize machine learning algorithms, and create hybrid quantum-classical systems that will redefine computing by 2026. You'll collaborate with Nobel laureates and industry pioneers in an environment that values bold innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum algorithms for AI optimization and pattern recognition
- Develop hybrid quantum-classical machine learning frameworks for 2026-era applications
- Lead research in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to prototype quantum-AI integration solutions
- Author peer-reviewed publications and patents in quantum-AI convergence
- Mentor cross-functional teams in quantum computing principles and applications
Qualifications
- PhD in Quantum Computing, AI, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and machine learning frameworks
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex quantum concepts into practical AI solutions