Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that redefine computational boundaries. We seek a visionary researcher to develop next-generation algorithms merging quantum computing with artificial intelligence for real-world applications in cryptography, materials science, and autonomous systems. Our Austin hub offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry disruptors.
Responsibilities
- Design and implement quantum machine learning algorithms for enterprise-scale problems
- Lead cross-functional teams in prototyping quantum-AI solutions for Fortune 500 clients
- Publish breakthrough research in Nature/Science journals with 2026 impact metrics
- Architect hybrid quantum-classical computing frameworks leveraging 1000+ qubit processors
- Secure patents for novel quantum neural network architectures
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (with 3+ years postdoc experience)
- Published research in top-tier venues (e.g., Quantum, IEEE TQE)
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proven track record of scaling ML models to quantum hardware
- Deep understanding of quantum error correction and fault tolerance
- Experience securing $1M+ in government/industry research grants
- Fluency in Python, TensorFlow, and low-level quantum assembly