Job Description
Join NeuraLabs Inc. as a 2026 Quantum AI Architect and pioneer the next frontier of computational intelligence. We're seeking a visionary engineer to design and implement quantum machine learning systems that will redefine industries by 2026. You'll lead the development of hybrid quantum-classical architectures, optimize quantum algorithms for real-world applications, and collaborate with Nobel laureates to push the boundaries of what's computationally possible.
This role offers unparalleled opportunities to shape emerging technologies in Austin's thriving tech ecosystem. You'll work in our state-of-the-art quantum lab, mentor junior researchers, and publish breakthrough findings in top-tier journals. The ideal candidate thrives at the intersection of theoretical physics and practical AI implementation.
Responsibilities
- Design scalable quantum neural networks for enterprise AI applications
- Develop error-correction protocols for quantum computing systems
- Lead cross-functional teams in building quantum-classical hybrid models
- Optimize quantum algorithms for NLP, drug discovery, and financial modeling
- Collaborate with academic institutions on quantum AI research initiatives
- Document quantum system architectures and create implementation roadmaps
- Present breakthrough findings at industry conferences and peer-reviewed journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years experience in quantum algorithm development
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Proven track record of publishing in Nature/Science journals
- Deep understanding of quantum error correction techniques
- Experience with high-performance computing infrastructure
- Strong background in Python, TensorFlow, and PyTorch
- Ability to communicate complex quantum concepts to non-technical stakeholders