Job Description
Join NeuroFusion Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As our Quantum AI Research Scientist, you'll architect next-generation neural networks operating on quantum processors, solving previously impossible challenges in drug discovery, climate modeling, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in our Austin-based quantum campus, equipped with state-of-the-art cryogenic quantum processors and neuromorphic computing infrastructure.
Responsibilities
- Design and implement quantum-enhanced neural architectures for complex problem domains
- Develop novel algorithms bridging quantum computing and deep learning paradigms
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and industry conferences
- Optimize quantum circuits for error correction and scalability
- Collaborate with hardware teams on quantum processor interface design
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years implementing quantum algorithms on real quantum hardware
- Expertise in TensorFlow Quantum, PennyLane, or similar quantum ML frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and quantum circuit design languages
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations