Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to develop breakthrough algorithms that will redefine computational capabilities by 2026. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into practical applications.
This role empowers you to shape the future of quantum machine learning while working alongside Nobel laureates and industry pioneers. We provide competitive compensation, flexible work arrangements, and dedicated R&D budget for your revolutionary projects.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era computational challenges
- Lead cross-functional teams in developing hybrid quantum-classical optimization frameworks
- Author peer-reviewed publications on quantum-AI convergence methodologies
- Secure $2M+ in research funding through NSF and DARPA proposals
- Collaborate with hardware teams to co-design next-gen quantum processors
- Mentor postdoctoral researchers in quantum algorithm development
- Establish industry partnerships for real-world quantum-AI deployment
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of experience with quantum algorithm development
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq)
- Demonstrated success in securing government research grants
- Deep understanding of quantum error correction techniques
- Experience with high-performance computing architectures