Job Description
Join NeuroSync Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering neural-quantum interfaces that will redefine human-computer symbiosis. As a Quantum AI Researcher, you'll architect next-generation algorithms merging quantum computing with neuromorphic systems. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
This role requires a visionary who thrives at the intersection of quantum mechanics, machine learning, and cognitive science. You'll collaborate with Nobel laureates and develop proprietary frameworks for quantum neural networks that process information beyond classical computing limits.
Responsibilities
- Design and implement quantum algorithms for neural network acceleration
- Develop proprietary quantum-AI frameworks for 2026-era applications
- Lead research on quantum-cognitive interfaces for human-AI symbiosis
- Collaborate with quantum hardware engineers on co-design optimization
- Publish breakthrough research in top-tier scientific journals
- Secure federal grants for quantum-AI innovation initiatives
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years experience with quantum algorithms (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum neural networks
- Expertise in quantum error correction and fault-tolerant systems
- Strong background in neuromorphic computing and brain-inspired architectures
- Proven ability to secure competitive research funding
- Experience with high-performance quantum computing environments