Job Description
Join the vanguard of technological evolution at NeuraFuture Labs, where we're pioneering quantum-AI fusion for 2026 breakthroughs. As a Quantum AI Research Scientist, you'll architect next-gen computational paradigms that redefine human-machine collaboration. Our Austin-based R&D hub offers unparalleled resources to transform theoretical physics into practical solutions for climate modeling, drug discovery, and autonomous systems. We provide competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum computing infrastructure.
Responsibilities
- Develop hybrid quantum-neural algorithms for 2026-era computational challenges
- Lead experimental validation of quantum-AI models on fault-tolerant hardware
- Collaborate with cross-functional teams to translate research into scalable solutions
- Author peer-reviewed publications and patent novel quantum-AI methodologies
- Mentor junior researchers and drive innovation in quantum machine learning frameworks
- Secure research funding through NSF and DoE grant applications
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years postdoc experience
- Proficiency in quantum programming languages (Qiskit, Cirq) and Python ML frameworks
- Published research in Nature/Science on quantum algorithms or AI optimization
- Experience with quantum error correction and NISQ hardware limitations
- Demonstrated ability to lead multi-million dollar research initiatives
- Strong background in tensor networks and quantum circuit optimization