Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum AI systems that will redefine 2026's technological landscape. As a Quantum AI Researcher, you'll develop hybrid quantum-classical algorithms for real-world applications in cryptography, drug discovery, and climate modeling. Our Austin hub offers state-of-the-art quantum computing infrastructure and collaborative research environment.
What You'll Achieve: Break through computational bottlenecks, publish breakthrough research in Nature/Science journals, and contribute to patents that shape the next decade of technology.
Responsibilities
- Design and implement quantum machine learning models using frameworks like Qiskit and Cirq
- Optimize quantum algorithms for NISQ-era hardware limitations
- Lead cross-functional teams of physicists and AI specialists
- Develop hybrid quantum-classical workflows for enterprise clients
- Secure research funding through NSF and DARPA proposals
- Publish findings in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 3+ years experience with quantum programming languages
- Proficiency in Python, TensorFlow, and quantum circuit design
- Publication record in quantum computing or AI research
- Experience with quantum error correction techniques
- Familiarity with cloud quantum platforms (IBM Quantum, Amazon Braket)