Job Description
Join Nexus Future Labs at the forefront of technological innovation as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll develop cutting-edge algorithms that merge quantum computing with machine learning to solve previously unsolvable problems in cryptography, materials science, and autonomous systems. Our Austin-based hub offers state-of-the-art facilities and a collaborative environment where your work will directly impact global technological advancement.
We provide competitive compensation, equity packages, and comprehensive benefits including flexible work arrangements and professional development stipends. Help shape the future of human-machine collaboration.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Publish findings in peer-reviewed journals and present at industry conferences
- Develop prototypes to validate quantum-AI hybrid system performance
- Mentor junior researchers and contribute to technical documentation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in machine learning and statistical modeling
- Publication record in quantum computing or AI research
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex theoretical concepts into practical applications