Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into tangible solutions.
Responsibilities
- Design and implement quantum machine learning models for optimization and pattern recognition
- Develop hybrid quantum-classical computing architectures for enterprise-scale applications
- Lead cross-functional teams in prototyping quantum algorithms for drug discovery and climate modeling
- Publish cutting-edge research in peer-reviewed journals and industry conferences
- Collaborate with hardware engineers to optimize quantum circuit performance
- Secure federal and private research grants for quantum AI initiatives
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record of publishing in quantum machine learning research
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability, and information theory