Job Description
Join NeuroSynth Labs at the forefront of 2026's quantum-AI revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in neural-quantum computing. Our Austin-based lab combines cutting-edge quantum hardware with next-gen neural networks to solve humanity's grandest challenges. This role offers unparalleled resources, collaborative freedom, and the chance to shape tomorrow's technological landscape. Enjoy competitive equity packages, flexible schedules, and state-of-the-art facilities in one of America's most innovative tech hubs.
Responsibilities
- Design and implement hybrid quantum-neural algorithms for unsupervised learning
- Lead cross-functional teams in prototyping quantum-AI hardware-software interfaces
- Develop novel error-correction protocols for quantum neural networks
- Publish breakthrough research in top-tier journals/conferences
- Secure federal grants and industry partnerships for 2026 quantum initiatives
- Mentor junior researchers in quantum machine learning principles
- Collaborate with NASA and DARPA on space-exploration AI applications
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2026)
- 3+ years experience with quantum machine learning frameworks
- Expertise in Python, TensorFlow Quantum, and Qiskit
- Published research in quantum neural networks or topological computing
- Strong background in quantum error correction and fault tolerance
- Experience securing NSF or DOE grants
- Deep understanding of quantum supremacy benchmarks