Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation computational paradigms that will redefine industries. As a Quantum AI Research Scientist, you'll architect hybrid quantum-neural systems that solve previously intractable problems in cryptography, drug discovery, and climate modeling. Our Austin campus features state-of-the-art quantum hardware and collaborative AI incubators where your breakthroughs will directly shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms optimized for hybrid quantum-classical AI architectures
- Lead cross-functional R&D teams in developing novel neural networks for quantum processors
- Publish breakthrough research in top-tier quantum computing and machine learning journals
- Collaborate with Fortune 500 partners to deploy quantum-AI solutions in production environments
- Secure $2M+ in government and private research funding for experimental initiatives
- Mentor PhD candidates in quantum machine learning and computational complexity
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics (or equivalent research experience)
- Expertise in quantum machine learning frameworks like Qiskit or Cirq
- Published work in quantum algorithms or neural network optimization
- Proficiency in Python, TensorFlow, and quantum circuit simulation tools
- Experience with high-performance computing clusters and GPU acceleration
- Strong track record of translating theoretical concepts into experimental prototypes
- Ability to secure research grants and navigate IP landscapes