Job Description
Step into the future with Nexus Quantum Labs as we pioneer the next frontier of artificial intelligence and quantum computing. We seek a visionary Quantum AI Research Scientist to join our elite team in Austin, TX, where you'll develop groundbreaking algorithms that merge quantum mechanics with machine learning. This is your opportunity to solve humanity's most complex challenges while working in state-of-the-art facilities alongside Nobel-caliber researchers.
As a key architect of our 2026 quantum roadmap, you'll collaborate with interdisciplinary teams to design and implement scalable quantum neural networks. We offer unparalleled resources, competitive compensation, and the chance to shape technologies that will redefine industries. If you're passionate about pushing computational boundaries and thrive in environments where innovation is accelerated, this role is your launchpad into quantum supremacy.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural network architectures
- Conduct theoretical research on quantum advantage in AI applications
- Lead cross-functional teams in prototyping quantum computing solutions
- Optimize quantum algorithms for real-world deployment on near-term hardware
- Author peer-reviewed publications and present findings at international conferences
- Collaborate with hardware engineers to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum error correction
- Proficiency in Python, Qiskit, Cirq, or equivalent quantum programming frameworks
- Strong background in deep learning frameworks (TensorFlow/PyTorch)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing and parallel processing
- Demonstrated ability to translate complex theoretical concepts into practical solutions
- Excellent communication skills for technical and non-technical audiences