Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that merge quantum supremacy with machine learning breakthroughs. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications.
Responsibilities
- Design and implement hybrid quantum-classical machine learning architectures
- Develop error-corrected quantum algorithms for large-scale data processing
- Collaborate with cross-disciplinary teams to solve NP-hard optimization problems
- Prototype quantum neural networks using cutting-edge frameworks like Qiskit and PennyLane
- Lead quantum-AI integration projects for Fortune 500 partners
- Publish research in top-tier journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical optimization
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Publication record in quantum computing or AI research
- Ability to translate complex quantum concepts into practical implementations