Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen neural networks operating on quantum substrates, transforming industries from healthcare to climate modeling. Our state-of-the-art San Francisco lab offers unparalleled resources to disrupt the status quo.
Be part of a visionary team where your expertise in quantum mechanics and machine learning converges with practical applications that shape tomorrow. We offer competitive equity packages, flexible hybrid work, and unparalleled R&D freedom.
Responsibilities
- Design and implement quantum neural networks leveraging 2026's fault-tolerant quantum processors
- Lead cross-functional teams of quantum physicists, AI specialists, and domain experts
- Develop proprietary algorithms for quantum-accelerated machine learning models
- Collaborate with Fortune 500 partners to deploy quantum-AI solutions
- Secure $10M+ in research grants through NSF and DARPA partnerships
- Publish breakthrough research in Nature Quantum and IEEE journals
- Mentor next-generation quantum AI engineers through our Nexus Academy
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years experience with quantum circuit design and error correction
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum SDKs
- Published research in quantum machine learning or top-tier AI conferences
- Proficiency in Python, C++, and quantum assembly languages
- Experience securing federal research grants and managing academic partnerships
- Strong track record of leading technical teams in high-stakes environments