Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI integration for 2026. We seek a visionary Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and artificial intelligence. This role offers unparalleled opportunities to shape the future of computational intelligence while working with world-class researchers in our state-of-the-art Austin facility.
What You'll Achieve: Design breakthrough quantum machine learning models, optimize quantum neural networks, and publish research in top-tier journals. Collaborate with MIT and Stanford partners to commercialize 2026-ready quantum-AI applications.
Responsibilities
- Develop novel quantum-enhanced AI algorithms for 2026 applications
- Lead cross-functional research teams on quantum-neural network integration
- Optimize quantum circuit architectures for machine learning workloads
- Validate quantum-AI prototypes using IBM Quantum and D-Wave systems
- Secure $5M+ in federal research grants for 2026 quantum initiatives
- Author patents and peer-reviewed publications on quantum-AI convergence
- Present findings at IEEE Quantum Week and NeurIPS conferences
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- 3+ years hands-on experience with Qiskit, Cirq, or PennyLane
- Published research in quantum machine learning (arXiv/IEEE)
- Expertise in tensor networks and quantum circuit optimization
- Proficiency in Python, TensorFlow Quantum, and PyTorch
- Strong background in quantum error correction techniques
- Demonstrated success in securing government research funding
- Experience with cloud-based quantum computing platforms