Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. This role offers an unparalleled opportunity to shape the future of computational science, working in our state-of-the-art Austin facility where innovation meets impact. You'll collaborate with Nobel laureates and industry disruptors to develop groundbreaking solutions for climate modeling, drug discovery, and autonomous systems. Our culture champions intellectual curiosity, offering unlimited learning resources and flexible R&D timelines to transform visionary concepts into reality.
Responsibilities
- Architect and implement quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Design error-corrected qubit systems optimized for deep learning workloads
- Publish breakthrough research in top-tier journals and industry conferences
- Secure $5M+ in federal and private quantum computing grants
- Mentor PhD candidates and postdoctoral researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Published research in Nature/Science or equivalent on quantum algorithms
- Expertise in Qiskit, Cirq, and quantum circuit optimization techniques
- Proven track record of scaling ML models to 100+ qubit systems
- Proficiency in Python, TensorFlow Quantum, and high-performance computing frameworks
- Strong background in topological quantum error correction and fault tolerance