Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum artificial intelligence. Our Austin-based team is seeking a visionary 2026 Quantum AI Researcher to develop breakthrough algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility equipped with quantum processors operating at near-absolute zero temperatures. This role offers unparalleled opportunities to publish in top-tier journals, patent revolutionary technologies, and shape the future of human-machine symbiosis.
We provide comprehensive benefits including equity grants, flexible hybrid work arrangements, and access to our wellness center featuring cryotherapy and mindfulness pods. Our culture celebrates intellectual curiosity while demanding rigorous scientific excellence.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Conduct cutting-edge research in quantum-classical hybrid computing architectures
- Author peer-reviewed publications and patent disclosures for breakthrough methodologies
- Collaborate with hardware teams to optimize quantum-AI integration protocols
- Develop ethical frameworks for next-generation autonomous quantum systems
- Mentor junior researchers in quantum information theory and AI optimization techniques
Qualifications
- PhD in Quantum Computing, Artificial Intelligence, or Physics with 3+ years postdoctoral experience
- Published research in Nature/Science or equivalent top-tier journals
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency in quantum error correction and fault-tolerant computing protocols
- Demonstrated experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in advanced mathematics including linear algebra, topology, and information theory
- Track record of translating theoretical concepts into practical implementations