Job Description
Join NeuralCore Dynamics at the forefront of technological evolution as our 2026 Quantum AI Research Lead. We're pioneering next-generation quantum computing frameworks that will redefine artificial intelligence capabilities. This role offers an unparalleled opportunity to shape the future of human-machine collaboration while working in Austin's vibrant innovation ecosystem. You'll lead a multidisciplinary team of physicists, computer scientists, and AI specialists to develop scalable quantum algorithms that solve previously impossible computational challenges.
We provide competitive compensation, comprehensive benefits, and a flexible hybrid work environment designed to maximize creativity and productivity. As part of our commitment to cutting-edge research, you'll have access to state-of-the-art quantum computing resources and collaborate with industry leaders across academia and private sectors.
Responsibilities
- Design and implement quantum machine learning architectures for 2026-era applications
- Lead a cross-functional team of 12+ researchers in quantum algorithm development
- Develop error-correction protocols for large-scale quantum systems
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in research funding through grant proposals and industry partnerships
- Mentor junior researchers and establish departmental quantum AI standards
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years industry experience
- Proven track record publishing quantum machine learning research
- Expertise in quantum circuit design and error mitigation techniques
- Strong programming skills in Python, Qiskit, and quantum simulation frameworks
- Experience leading research teams with $3M+ annual budgets
- Deep understanding of quantum-classical hybrid computing paradigms
- Patents or peer-reviewed publications in quantum AI or related fields
- Ability to translate complex quantum concepts for technical and non-technical stakeholders