Job Description
Join NeuroTech Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational paradigms in our state-of-the-art Austin lab, where cutting-edge research meets real-world applications.
This role offers unparalleled opportunity to develop next-gen quantum algorithms, optimize neural network architectures for quantum processors, and publish groundbreaking research in top-tier journals. Collaborate with Nobel laureates and industry pioneers while contributing to projects that will redefine technological capabilities by 2026.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead research on quantum neural networks and hybrid quantum-classical computing models
- Develop error-correction protocols for quantum AI systems operating at scale
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Author high-impact publications and present findings at premier international conferences
- Secure external funding through NSF and DoD grants for quantum AI initiatives
- Mentor postdoctoral researchers in quantum computing principles and AI applications
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field
- Minimum 5 years of research experience in quantum algorithms or quantum machine learning
- Published work in Nature/Science or top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency in quantum programming frameworks (Qiskit, Cirq) and AI frameworks (PyTorch)
- Demonstrated expertise in quantum error correction and fault-tolerant computing
- Strong background in computational complexity theory and linear algebra
- Experience with high-performance computing clusters and GPU acceleration
- Track record of securing competitive research grants