Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to solve humanity's most complex challenges. We're pioneering the next generation of hybrid quantum neural networks that will redefine computational intelligence by 2026. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop proprietary algorithms for drug discovery, climate modeling, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and petascale GPU clusters.
Responsibilities
- Design and implement novel quantum machine learning architectures for real-world applications
- Lead cross-functional teams in prototyping hybrid quantum-classical algorithms
- Publish breakthrough research in top-tier journals and conferences
- Optimize quantum circuit performance using advanced error correction techniques
- Secure $10M+ in government grants and industry partnerships
- Develop ethical frameworks for responsible AI deployment
- Mentor postdoctoral researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in high-performance computing environments (HPC, GPU clusters)
- Expertise in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Strong background in linear algebra, probability theory, and information theory
- Experience securing federal research grants (NSF, DOE, DARPA)