Job Description
Shape the future of artificial intelligence at the intersection of quantum computing and machine learning. NeuraQuantum Dynamics seeks a pioneering Quantum AI Research Scientist to develop next-gen algorithms that will redefine computational boundaries by 2026. Join our multidisciplinary team in Austin's thriving tech ecosystem to transform theoretical quantum concepts into practical AI breakthroughs.
We offer competitive equity packages, cutting-edge research facilities, and collaboration with Nobel-caliber researchers. Your work will directly impact industries from drug discovery to climate modeling, pushing the limits of what's computationally possible.
Responsibilities
- Design and implement quantum machine learning algorithms for high-dimensional optimization problems
- Develop hybrid quantum-classical neural network architectures for real-time decision systems
- Lead research in quantum error correction for scalable AI applications
- Collaborate with hardware teams to optimize quantum-AI co-design protocols
- Author peer-reviewed publications and contribute to open-source quantum AI frameworks
- Mentor junior researchers and present findings at premier quantum computing conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum algorithms (QAOA, VQE, Grover's variants) and their AI applications
- Experience with quantum simulation software (Qiskit Aer, Quil) and cloud quantum platforms
- Strong analytical skills with ability to translate complex quantum concepts into practical AI solutions