Job Description
Shape the future at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that solve previously unsolvable problems in drug discovery, materials science, and climate modeling. Join our elite team at the forefront of technological evolution in Austin's thriving innovation ecosystem.
We offer unparalleled resources: access to 100-qubit quantum processors, dedicated GPU clusters, and a $20M R&D budget. Your work will directly impact our mission to achieve quantum advantage by 2026, transforming industries and solving humanity's grandest challenges.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for real-world applications
- Develop novel quantum algorithms for optimization and simulation problems
- Lead cross-functional research projects collaborating with quantum hardware engineers
- Translate theoretical quantum computing concepts into practical AI solutions
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive quantum computing education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Strong background in quantum information theory and algorithm design
- Publication record in quantum computing or AI research
- Proficiency in Python, C++, and quantum circuit optimization
- Passion for solving complex problems at the quantum-AI intersection