Job Description
We are on the precipice of a technological revolution, and the year 2026 is the target year for our next major breakthrough in quantum supremacy and artificial intelligence integration. Nexus Future Labs is seeking a visionary Senior Quantum & AI Architect to lead our infrastructure strategy. In this pivotal role, you will bridge the gap between classical machine learning pipelines and emerging quantum computing paradigms, ensuring our systems are ready for the demands of the near future.
Why Join Us?
We are building the software layer for the next generation of computing. You will work directly with world-class researchers to solve complex problems that standard silicon cannot handle.
Responsibilities
- Define the 2026 Roadmap: Architect the technical strategy for integrating quantum computing resources into our existing AI infrastructure.
- Hybrid System Design: Design and optimize hybrid quantum-classical algorithms that leverage the strengths of both modalities.
- Performance Tuning: Analyze and optimize quantum circuit depth and gate fidelity to ensure scalability on NISQ devices.
- Cloud Infrastructure: Lead the implementation of cloud-native solutions for quantum simulation and deployment.
- Mentorship: Mentor junior engineers and researchers in advanced quantum software development practices.
- Feasibility Analysis: Conduct rigorous feasibility studies to determine the practical applications of quantum algorithms for our clients.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Experience: 5+ years of professional experience in software architecture, with at least 2 years specifically in Quantum Computing or AI.
- Technical Skills: Proficiency in programming languages such as Python, C++, or Java. Experience with quantum SDKs (e.g., Qiskit, Cirq, PennyLane) is essential.
- Theoretical Knowledge: Strong understanding of linear algebra, probability theory, and quantum mechanics principles.
- Problem Solving: Ability to identify complex computational bottlenecks and devise innovative solutions.