Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-generation algorithms for autonomous systems, climate modeling, and personalized medicine. Collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where your breakthroughs will shape humanity's digital future.
Responsibilities
- Lead cross-functional teams in developing quantum-entangled neural networks
- Design fault-tolerant AI systems operating at sub-100 Kelvin temperatures
- Author peer-reviewed publications in Nature/Science journals
- Secure $5M+ in DARPA/NASA grants for quantum-AI initiatives
- Architect hybrid quantum-classical computing frameworks
- Mentor PhD researchers in quantum machine learning
- Advise White House technology policy committees
Qualifications
- PhD in Quantum Computing or Theoretical Physics (MIT/Stanford/ETH Zurich preferred)
- 5+ years publishing in top-tier quantum-AI conferences (QIP, NeurIPS)
- Expertise in Qiskit/Cirq with 100+ qubit simulations
- Proven grant success with federal agencies (NSF/NIH)
- Fluency in tensor networks and quantum error correction
- Patents in quantum machine learning algorithms
- Experience with cryogenic computing hardware