Job Description
Join NeuroFusion Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen neural networks operating at quantum coherence levels. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research in computational neuroscience and quantum machine learning.
We provide competitive equity packages, flexible work arrangements, and access to our quantum computing cluster. This role offers unparalleled opportunities to publish in top-tier journals and contribute to patents that will shape the next decade of technology.
Responsibilities
- Design and implement quantum neural networks leveraging qubit entanglement for exponential computational gains
- Develop novel algorithms for quantum-enhanced deep learning at room-temperature quantum processors
- Lead cross-functional teams of physicists, engineers, and data scientists in prototype development
- Collaborate with MIT and Stanford researchers on DARPA-funded quantum-AI initiatives
- Translate theoretical models into functional quantum computing applications
- Present findings at IEEE Quantum Computing conferences and peer-reviewed journals
- Secure research grants from NSF and private quantum computing consortiums
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years research experience
- Published work in Nature/Science or top-tier quantum computing conferences
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Expertise in tensor networks and quantum error correction protocols
- Strong background in neuromorphic computing architectures
- Experience with superconducting qubit manipulation and readout
- Track record of securing research funding or patents