Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that blend quantum computing with neural networks, pushing beyond classical computing limits. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
Responsibilities
- Design and implement quantum neural network architectures
- Develop hybrid quantum-classical machine learning models
- Optimize quantum algorithms for practical deployment
- Lead cross-functional teams on quantum-AI integration projects
- Publish breakthrough research in peer-reviewed journals
- Collaborate with hardware teams to co-design quantum processors
- Secure $1M+ in research funding annually
Qualifications
- PhD in Quantum Computing, AI, or related field
- 3+ years quantum machine learning research experience
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Published work in Nature/Science/IEEE journals
- Expertise in quantum error correction techniques
- Strong background in linear algebra and quantum mechanics
- Experience securing government/industry research grants