Job Description
Join NeuraFusion Labs at the forefront of 2026 technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computational paradigms. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum computing with neural networks, solving humanity's most complex challenges in cryptography, materials science, and climate modeling.
Why NeuraFusion? Our state-of-the-art quantum-AI lab features 128-qubit processors and exascale computing clusters. We offer competitive equity packages, flexible hybrid work, and unparalleled R&D resources.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for practical applications
- Develop error-corrected quantum circuits optimized for machine learning workloads
- Lead cross-functional teams in prototyping quantum-empowered neural networks
- Author peer-reviewed publications in Nature/Science journals
- Collaborate with MIT and Stanford on quantum supremacy initiatives
- Secure $10M+ in DARPA/NASA research grants
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years experience with quantum programming (Qiskit/Cirq) and TensorFlow/PyTorch
- Published research in quantum machine learning or quantum error correction
- Expertise in quantum annealing and NISQ device optimization
- Strong background in topological quantum computing
- Proven track record of securing federal research funding