Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's most critical infrastructure. We're seeking visionary Quantum AI Systems Engineers to architect next-generation computational frameworks that will redefine human-machine collaboration. This role offers unparalleled opportunity to shape the digital landscape through cutting-edge research and implementation in a dynamic, innovation-driven environment.
Responsibilities
- Design and implement hybrid quantum-AI architectures for scalable industrial applications
- Lead cross-functional teams in developing adaptive machine learning models for predictive analytics
- Optimize quantum computing protocols for real-time data processing in edge computing environments
- Collaborate with quantum hardware specialists to bridge theoretical algorithms with physical implementations
- Develop security frameworks for quantum-resistant cryptography systems
- Create documentation and training materials for emerging quantum-AI methodologies
- Conduct research on quantum machine learning algorithms and their practical applications
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq) and machine learning frameworks (TensorFlow Quantum)
- Proven track record in developing hybrid quantum-classical computing solutions
- Deep understanding of quantum error correction and fault-tolerant systems
- Strong background in distributed computing architectures and parallel processing
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Published research in quantum machine learning or quantum algorithms preferred
- Excellent communication skills for technical and non-technical stakeholders