Job Description
Shape the future at Nexus Quantum Labs, where 2026's quantum-AI convergence is reality. We're pioneering quantum neural networks that solve previously impossible computational challenges. Join our elite research team in Austin's innovation hub to develop next-gen algorithms that redefine machine learning boundaries.
Our state-of-the-art facility houses the nation's most advanced quantum processors. You'll collaborate with Nobel laureates and Turing Award winners to hybridize quantum computing with AI systems. We offer unparalleled resources, competitive equity packages, and the opportunity to publish groundbreaking research in top-tier journals.
As we approach quantum supremacy, your work will directly impact fields from drug discovery to climate modeling. If you're ready to translate theoretical quantum mechanics into transformative AI applications, this is your moment.
Responsibilities
- Design and implement quantum-enhanced neural network architectures
- Develop hybrid quantum-classical machine learning algorithms
- Optimize quantum circuits for AI-specific computational tasks
- Lead research projects in quantum machine learning theory
- Collaborate with hardware engineers to co-design quantum processors
- Publish findings in leading scientific journals and conferences
- Secure external research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with AI specialization
- 3+ years experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or quantum information
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Strong background in quantum error correction techniques
- Experience with high-performance computing environments