Job Description
Join NeuroSync Technologies at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine human-machine interaction. As a Quantum AI Research Scientist, you'll develop next-generation neural networks operating at quantum coherence levels. Collaborate with Nobel laureates in our Austin R&D hub and contribute to breakthroughs in computational neuroscience and scalable quantum computing. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with cutting-edge hardware in a culture obsessed with innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop novel approaches to quantum error correction for neural networks
- Collaborate with hardware engineers to optimize quantum-AI co-design
- Publish breakthrough research in top-tier journals and conferences
- Secure patents for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) at scale
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with high-performance computing environments
- Proven track record of translating research into commercial applications