Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that will redefine computing. We're seeking a visionary Quantum AI Research Scientist to develop next-gen algorithms that merge quantum mechanics with artificial intelligence. You'll collaborate with Nobel laureates and industry disruptors in our Austin R&D hub, contributing to breakthroughs in cryptography, molecular modeling, and autonomous systems. Our lab offers unparalleled resources, including access to IBM Quantum computers and NVIDIA's latest GPU clusters. If you're passionate about solving humanity's most complex challenges through cutting-edge science, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize quantum-AI integration
- Secure $1M+ in research grants through innovative proposal development
- Mentor PhD candidates and junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Proven track record of translating theoretical models into practical implementations
- Strong background in linear algebra, probability, and information theory