Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026. We're seeking visionary research scientists to develop next-generation computational frameworks that will redefine industries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into scalable solutions.
Responsibilities
- Design and implement quantum machine learning algorithms for complex problem domains
- Lead cross-functional R&D teams in prototyping hybrid quantum-classical computing architectures
- Develop predictive models for 2026 technology adoption curves and market disruptions
- Collaborate with MIT and Stanford on quantum encryption standards for post-2025 security frameworks
- Secure patents for novel AI-quantum integration methodologies
- Mentor junior researchers in emerging computational paradigms
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years experience with quantum programming languages (Q#, Cirq) and NISQ hardware
- Published research in Nature/Science on quantum-AI hybrid systems
- Expertise in tensor networks and quantum error correction protocols
- Proficiency in Python/C++ with high-performance computing frameworks
- Security clearance eligibility for classified government research projects