Job Description
Shape the future of artificial intelligence by pioneering quantum-powered machine learning systems at Nexus Dynamics. We're seeking a visionary Quantum AI Architect to design next-generation algorithms that transcend classical computing boundaries. Join our elite R&D team at the intersection of quantum mechanics and deep learning to build autonomous systems for climate modeling, drug discovery, and financial optimization. This role offers unparalleled opportunities to publish groundbreaking research and collaborate with Nobel laureates in our state-of-the-art Silicon Valley lab.
Responsibilities
- Design and implement quantum neural networks leveraging Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical frameworks for real-time anomaly detection
- Lead cross-functional teams of physicists and ML engineers in prototyping quantum AI solutions
- Optimize quantum algorithms for scalability on IBM Quantum and Rigetti systems
- Create ethical governance frameworks for autonomous quantum decision-making systems
- Secure $2M+ in research grants through NSF and DARPA proposals
- Publish 3+ peer-reviewed papers annually in Nature Quantum Information
Qualifications
- PhD in Quantum Computing, Physics, or Computational Mathematics (or equivalent experience)
- 5+ years developing production-level machine learning systems with PyTorch/TensorFlow
- Expertise in quantum error correction and fault-tolerant circuit design
- Published research in quantum machine learning or quantum information theory
- Proficiency with quantum hardware interfaces (Qiskit, Cirq, Q#)
- Experience securing federal research grants and managing R&D budgets
- Strong background in AI ethics and bias mitigation for autonomous systems
- Fluency in Python/C++ with high-performance computing optimization skills