Job Description
Join Nexus Quantum Systems at the frontier of 2026 technology as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve previously unsolvable problems. This role offers the rare opportunity to work with cutting-edge quantum hardware and develop novel AI algorithms that will redefine industries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility, where we're building the computational infrastructure for the next decade. If you're passionate about pushing the boundaries of technology and want to shape the future of intelligent systems, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical computing frameworks for real-time AI applications
- Collaborate with quantum hardware teams to optimize algorithms for next-generation processors
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Publish breakthrough findings in leading scientific journals and industry conferences
- Mentor junior researchers and contribute to the development of quantum AI best practices
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field (MS with exceptional experience considered)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python, Qiskit, Cirq, or equivalent quantum programming platforms
- Strong background in AI/ML with demonstrated research in neural networks or optimization
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Published work in quantum computing or AI at top-tier conferences/journals
- Ability to translate complex theoretical concepts into practical implementations