Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration solutions that will redefine computational paradigms. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum computing with neural networks, solving challenges previously deemed unsolvable. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay. This role offers unparalleled growth opportunities in the most transformative field of the decade.
Responsibilities
- Design quantum machine learning frameworks for 2026-era computational challenges
- Lead cross-functional teams in developing quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in government/private quantum research grants
- Develop patent-protected quantum optimization algorithms
- Mentor PhD candidates in quantum computing specialization
- Present findings at global tech summits (World Economic Forum, CES)
Qualifications
- PhD in Quantum Computing or Theoretical Physics from Tier 1 institution
- 5+ years experience in quantum algorithm development
- Published 10+ papers in Nature/Science/IEEE journals
- Expertise in Qiskit, Cirq, and quantum error correction
- Proven track record of securing research funding
- Deep understanding of quantum neural networks (QNNs)
- Strong background in AI/ML frameworks (PyTorch, TensorFlow)
- Patents in quantum computing or AI domains preferred