Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution as we pioneer the intersection of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect next-generation systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, where your innovations will directly shape humanity's digital future.
As a key member of our Quantum AI Division, you'll develop hybrid quantum-classical algorithms and implement breakthrough protocols in our fault-tolerant quantum networks. We provide comprehensive benefits including equity grants, unlimited learning stipends, and relocation assistance for global talent. Our culture embraces radical innovation and intellectual curiosity – perfect for those who dream beyond conventional computing paradigms.
Responsibilities
- Design and implement novel quantum neural networks for real-world optimization problems
- Develop error-correction protocols for multi-qubit quantum processors
- Create hybrid AI-quantum frameworks for drug discovery and materials science
- Lead open-source quantum algorithm initiatives in GitHub repositories
- Collaborate with hardware teams to co-design quantum-AI accelerators
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers in quantum machine learning methodologies
- Secure $5M+ in quantum computing research grants annually
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years developing quantum algorithms using frameworks like Qiskit or Cirq
- Published research in top-tier quantum computing or AI conferences
- Expertise in tensor networks and quantum machine learning architectures
- Proficiency in Python, C++, and quantum hardware SDKs
- Experience with fault-tolerant quantum circuit design
- Demonstrated ability to secure federal or corporate research funding
- Strong background in quantum information theory and complexity classes