Job Description
Join Nexus Future Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation computational paradigms that will redefine technology's future. As a Quantum AI Research Scientist, you'll architect hybrid quantum-neural systems solving previously impossible problems in cryptography, material science, and climate modeling. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data analysis
- Develop hybrid quantum-classical computing architectures for enterprise applications
- Lead cross-functional teams in prototyping quantum-AI solutions
- Collaborate with MIT and Stanford researchers on cutting-edge publications
- Optimize quantum circuits for NISQ-era hardware limitations
- Translate quantum research into patentable intellectual property
- Mentor PhD candidates in quantum-computing bootcamps
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra and quantum information theory
- Expertise in Python/C++ with scientific computing libraries
- Demonstrated ability to secure research grants ($500K+)