Job Description
Shape the future of human-machine intelligence as a Quantum AI Research Scientist at Nexus Quantum Labs. Join our pioneering team developing next-generation neural networks that leverage quantum principles to solve previously unsolvable computational challenges. This role offers unparalleled opportunities to work at the intersection of quantum physics, artificial intelligence, and emerging technologies in our state-of-the-art San Francisco facility.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for real-world applications
- Lead cross-functional R&D projects combining quantum computing with deep neural networks
- Develop novel hybrid quantum-classical architectures for exponential computational speedups
- Collaborate with hardware engineers to optimize quantum algorithms for next-gen processors
- Publish breakthrough research in top-tier scientific journals and conferences
- Secure federal and private research funding through compelling grant proposals
- Mentor junior researchers in quantum AI methodologies and best practices
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Proven expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit Machine Learning)
- Strong background in advanced mathematics including linear algebra, topology, and information theory
- Proficiency in Python/C++ with experience in high-performance computing environments
- Demonstrated track record of publishing in Nature/Science or equivalent tier journals
- Familiarity with quantum hardware architectures (superconducting, trapped ion, photonic)
- Exceptional problem-solving abilities with complex multi-variable optimization challenges