Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the 2026 quantum-AI convergence frontier. We're seeking visionary researchers to architect next-generation solutions that will redefine human-machine interaction. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into tangible global impact.
This role represents a unique opportunity to shape the technological landscape of the coming decade, working with cutting-edge quantum processors and advanced neural networks in a collaborative, future-focused environment.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing prototype systems for quantum-encrypted neural networks
- Conduct advanced research in quantum machine learning paradigms
- Collaborate with hardware engineers to optimize quantum-AI system architectures
- Publish breakthrough research in top-tier scientific journals
- Develop strategic roadmaps for quantum-AI integration in commercial applications
- Mentor junior researchers in emerging quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Minimum 5 years in quantum algorithm development or advanced AI research
- Expertise in quantum error correction and fault-tolerant computing
- Published research in quantum machine learning or quantum neural networks
- Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
- Demonstrated experience with large-scale distributed computing systems
- Strong background in theoretical physics and computational complexity
- Track record of translating research into commercial applications