Job Description
Join the forefront of technological innovation at Nexus Future Labs, where we're pioneering the next wave of quantum-AI convergence. As a Quantum AI Research Scientist, you'll architect breakthrough solutions that redefine computational boundaries. Our Austin-based incubator offers unparalleled resources to transform theoretical concepts into real-world applications, from quantum-resistant cryptography to neuromorphic computing systems.
We seek visionaries who thrive at the intersection of quantum mechanics and machine learning. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, contributing to projects that will shape the 2026 technological landscape. This role offers competitive equity packages, flexible work arrangements, and dedicated R&D funding for your revolutionary ideas.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for 2026-era computational challenges
- Lead research on quantum machine learning models achieving exponential speedups
- Develop quantum-safe AI frameworks for critical infrastructure protection
- Collaborate with hardware teams to optimize quantum-AI integration protocols
- Publish breakthrough research in top-tier journals and industry whitepapers
- Mentor junior researchers in quantum computing methodologies
- Secure competitive research grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
- Published research in quantum algorithms or quantum-AI hybrid systems
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Expertise in TensorFlow/PyTorch with quantum circuit integration
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing architectures
- Track record of translating theoretical concepts into practical applications
- Strong background in ethical AI development and governance frameworks