Job Description
Step into the future with Nexus Labs as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries by 2026. Join our elite team of innovators in Austin's thriving tech ecosystem where breakthrough ideas become reality.
This role offers unparalleled access to our state-of-the-art quantum annealing lab and collaborative partnerships with MIT and Caltech. You'll develop hybrid quantum-classical machine learning models, optimize quantum neural networks, and contribute to projects that could revolutionize drug discovery, climate modeling, and financial forecasting.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures
- Conduct research in quantum error correction and fault-tolerant systems
- Collaborate with hardware engineers to optimize quantum annealing processes
- Lead cross-functional projects integrating quantum computing with AI frameworks
- Publish breakthrough research in IEEE Nature journals and present at Q2B conferences
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or AI peer-reviewed journals
- Experience with D-Wave or IBM quantum systems
- Expertise in complex mathematical optimization techniques
- Ability to translate theoretical concepts into practical implementations