Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key member of our Austin-based innovation hub, you'll develop next-generation algorithms that will redefine computational boundaries and solve humanity's most complex challenges. Our state-of-the-art lab offers unparalleled resources and collaborative opportunities with Nobel laureates and industry pioneers. This is your chance to shape the technological landscape of tomorrow while enjoying Austin's vibrant culture and exceptional quality of life.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional R&D initiatives combining quantum hardware with neural network architectures
- Develop proprietary error-correction techniques for scalable quantum AI systems
- Collaborate with hardware teams to optimize quantum-classical hybrid computing workflows
- Publish groundbreaking research in top-tier journals and present at global tech conferences
- Secure and manage $5M+ in federal and private research grants
- Mentor PhD researchers and drive technical excellence across the quantum AI division
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
- Proven expertise in quantum circuit design and qubit manipulation techniques
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and quantum frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Experience with high-performance computing environments and distributed systems
- Track record of securing government or corporate research funding
- Strong background in tensor networks and quantum simulation methodologies