Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the next generation of quantum-AI hybrid systems. As a Quantum AI Research Engineer, you'll architect breakthrough solutions that merge quantum computing with artificial intelligence to solve previously impossible computational challenges. Our Austin hub features state-of-the-art quantum processors and a collaborative innovation ecosystem where your ideas will shape the future of technology.
We offer competitive compensation, equity packages, and comprehensive benefits including flexible work arrangements and continuous learning stipends. Be part of a team that's pushing the boundaries of what's possible in quantum machine learning, cryptography, and computational optimization.
Responsibilities
- Design and implement quantum algorithms for AI model optimization and accelerated training
- Develop hybrid quantum-classical neural network architectures for complex pattern recognition
- Conduct experimental quantum computing research using Qiskit, Cirq, and D-Wave platforms
- Collaborate with cross-functional teams to integrate quantum solutions into enterprise AI systems
- Lead quantum-AI proof-of-concept development for Fortune 500 clients
- Author technical publications and patents in quantum machine learning domains
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, PyTorch Quantum)
- Strong foundation in machine learning frameworks (TensorFlow, PyTorch) and classical optimization
- Published research in quantum information theory or quantum machine learning
- Experience with quantum hardware integration and error mitigation techniques
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex quantum concepts into practical applications