Job Description
Shape the future of artificial intelligence at Nexus Labs, where we're pioneering the convergence of quantum computing and machine learning. We're seeking a visionary Quantum AI Research Scientist to join our elite 2026 initiative, tasked with developing next-gen algorithms that will redefine computational boundaries. This role offers unparalleled access to our quantum annealing infrastructure and collaborative partnerships with leading research institutions.
What You'll Achieve: Design breakthrough quantum neural networks, optimize quantum machine learning models, and contribute to our patent portfolio of hybrid quantum-classical systems. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Responsibilities
- Develop novel quantum algorithms for machine learning optimization
- Design hybrid quantum-classical neural network architectures
- Lead research initiatives in quantum error correction for AI systems
- Collaborate with hardware engineers to co-design quantum processors
- Publish findings in top-tier journals (Nature, Science, etc.)
- Mentor junior researchers in quantum machine learning methodologies
- Secure research grants and partnerships for quantum AI projects
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in tensor networks and quantum machine learning
- Published research in quantum information theory or AI optimization
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Experience with high-performance computing clusters
- Demonstrated ability to translate theoretical models into practical implementations