Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration for next-generation autonomous systems and sustainable energy solutions. As a Quantum AI Engineer, you'll architect hybrid quantum-classical algorithms that redefine computational boundaries. Our Austin hub offers cutting-edge labs, flexible hybrid work, and unparalleled growth opportunities in the heart of America's innovation corridor. Be part of the team shaping humanity's digital future.
Responsibilities
- Design and implement quantum machine learning frameworks for real-time data processing
- Develop hybrid quantum-classical models optimizing energy efficiency in autonomous systems
- Lead R&D initiatives for quantum-resistant cryptography protocols
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI pipelines
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior engineers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Proficiency in Python, TensorFlow, and quantum circuit optimization
- Published research in quantum machine learning or quantum algorithms
- Experience with NISQ hardware platforms (IBM Quantum, Rigetti)
- Strong background in linear algebra and quantum information theory
- Certification in quantum computing from recognized institutions