Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Lead, you'll architect next-gen neural interfaces and develop algorithms that redefine machine learning capabilities. Our Austin-based R&D hub offers unparalleled resources including a 128-qubit quantum processor and a dedicated neuro-simulation lab. We're seeking visionary researchers to solve humanity's most complex challenges in healthcare, climate modeling, and autonomous systems.
Responsibilities
- Lead cross-functional teams in designing quantum neural network architectures
- Develop proprietary algorithms for quantum-entangled machine learning models
- Conduct groundbreaking research in quantum-assisted pattern recognition
- Collaborate with neuroscientists to implement brain-inspired quantum computing paradigms
- Secure federal grants and publish in Nature Quantum journals
- Mentor PhD researchers in quantum machine learning methodologies
- Patent breakthrough technologies in quantum-AI hybrid systems
Qualifications
- PhD in Quantum Computing, AI, or Computational Neuroscience
- 5+ years experience with quantum machine learning frameworks
- Expertise in quantum error correction and fault-tolerant algorithms
- Published research in top-tier quantum/AI journals (Nature, Science, etc.)
- Proficiency with Qiskit, Cirq, and TensorFlow Quantum
- Demonstrated success in securing NSF or DoE research grants
- Strong background in high-performance computing environments
- Experience with neuromorphic hardware integration