Job Description
Join NeuroTech Labs at the forefront of 2026's technological revolution as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking solutions that will redefine humanity's digital future. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into transformative technologies.
In this role, you'll collaborate with Nobel laureates and industry disruptors to architect next-generation quantum neural networks. We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum simulation facilities. This isn't just a job—it's your chance to shape the computational paradigm of tomorrow.
Responsibilities
- Lead research in quantum machine learning algorithms for real-world applications
- Design and implement hybrid quantum-classical neural network architectures
- Develop error mitigation protocols for quantum AI systems
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish breakthrough research in leading scientific journals
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
- Present findings at global technology conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum computing frameworks (Qiskit, Cirq)
- Deep expertise in machine learning and neural network architectures
- Published research in quantum information or AI systems
- Proficiency in Python, TensorFlow, and quantum circuit design
- Strong understanding of quantum error correction techniques
- Experience with high-performance computing environments
- Proven track record of translating research into commercial applications