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 mechanics with machine learning intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
Responsibilities
- Design and implement quantum machine learning frameworks for enterprise applications
- Develop error-corrected quantum circuits for AI acceleration
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Collaborate with academic institutions on cutting-edge research publications
- Optimize quantum algorithms for scalability in cloud environments
- Contribute to patent development for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with 5+ years experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum-AI integration
- Strong background in quantum error correction and fault-tolerant systems
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Published research in quantum computing or AI convergence domains
- Ability to translate complex quantum concepts into practical engineering solutions