Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for our breakthrough quantum neural networks, collaborating with Nobel laureates and industry disruptors in our state-of-the-art Austin Innovation Lab. This role offers unparalleled opportunities to shape humanity's digital future while working with cutting-edge quantum processors and proprietary AI frameworks.
We provide industry-leading benefits including equity, flexible hybrid work, and continuous learning stipends. Our culture values audacious innovation and intellectual curiosity above all.
Responsibilities
- Design and implement novel quantum algorithms for AI model optimization
- Lead cross-functional teams in developing quantum neural network architectures
- Conduct groundbreaking research in quantum machine learning paradigms
- Develop error-correction protocols for large-scale quantum computations
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Publish findings in top-tier journals and present at global tech conferences
- Mentor junior researchers and drive innovation through internal hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms or quantum machine learning systems
- Expertise in Python, Qiskit, and quantum circuit optimization
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum computing or AI (IEEE/ACM journals)
- Experience with high-performance computing and GPU acceleration
- Strong background in tensor networks and quantum information theory