Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational capabilities. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications.
As a key member of our Quantum AI Division, you'll work alongside Nobel Prize-winning physicists and industry-leading AI architects in a state-of-the-art facility equipped with the world's most advanced quantum processors. We offer competitive equity packages, flexible hybrid work arrangements, and opportunities to publish in top-tier scientific journals.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical computing architectures for enterprise applications
- Collaborate with cross-functional teams to prototype and validate quantum AI solutions
- Conduct cutting-edge research in quantum error correction and qubit stabilization
- Lead technical documentation and peer-reviewed publications
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Published research in quantum machine learning or quantum algorithms
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with high-performance computing clusters and cloud quantum platforms
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Excellent problem-solving skills and innovative thinking