Job Description
Shape the future of technology as a Quantum AI Research Scientist at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As we approach 2026, this role offers an unprecedented opportunity to develop revolutionary algorithms that will redefine computational boundaries. You'll work in our state-of-the-art San Francisco facility alongside Nobel laureates and industry pioneers, leveraging our proprietary 1000-qubit quantum processors. This position includes competitive equity, flexible work arrangements, and dedicated R&D funding for breakthrough projects.
Responsibilities
- Design and implement novel quantum neural networks for unsupervised learning systems
- Develop hybrid quantum-classical optimization algorithms for logistics and drug discovery
- Lead cross-functional teams to integrate quantum solutions into existing AI frameworks
- Author peer-reviewed research for top-tier journals and industry conferences
- Collaborate with hardware teams to mitigate quantum decoherence in real-time applications
- Secure government and private funding for experimental quantum AI projects
- Mentor junior researchers and publish quarterly technical whitepapers
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault-tolerant architectures
- Proven ability to secure research grants exceeding $500K
- Strong background in complex mathematical optimization techniques