Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine computing. In this role, you'll architect hybrid quantum-neural systems, develop novel algorithms for quantum machine learning, and collaborate with Nobel laureates to solve humanity's most complex challenges.
Our Austin Innovation Lab offers unparalleled resources: 128-qubit quantum processors, exascale supercomputing clusters, and a $500M R&D fund. You'll publish in Nature Quantum, patent revolutionary IP, and mentor the next generation of quantum pioneers while enjoying industry-leading benefits.
Responsibilities
- Design and implement quantum neural networks for unsupervised learning
- Develop error mitigation protocols for quantum AI inference systems
- Create hybrid quantum-classical algorithms for drug discovery simulations
- Lead cross-functional teams in quantum-ML integration projects
- Secure $5M+ in DARPA/NASA research grants
- Author 3+ peer-reviewed publications annually
- Optimize quantum circuit architectures for real-time AI applications
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years of quantum algorithm development experience
- Proficiency in Qiskit, Cirq, and quantum machine learning frameworks
- Publication record in Nature/Science journals
- Expertise in tensor networks and quantum error correction
- Proven track record of securing government research grants
- Strong background in distributed quantum computing systems