Job Description
Join Nexus 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 applications for 2026 and beyond, merging quantum computing with advanced neural networks to solve humanity's most complex challenges. This role offers unparalleled resources, cutting-edge infrastructure, and collaboration with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing novel quantum-AI frameworks for healthcare, climate modeling, and materials science
- Publish groundbreaking research in top-tier journals and present at global tech summits
- Architect scalable quantum neural networks with error correction protocols
- Secure $5M+ in federal grants and corporate partnerships for frontier research initiatives
- Mentor PhD candidates in quantum computing and AI ethics
- Drive patent development for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent research experience)
- 3+ years of hands-on quantum algorithm development using Qiskit/IBM Q or Cirq/Google
- Published research in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
- Expertise in tensor networks and quantum error correction techniques
- Proven track record of securing government research grants
- Deep understanding of quantum supremacy benchmarks and NISQ-era limitations
- Fluency in Python/C++ with quantum computing libraries (e.g., PennyLane)