Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Quantum AI Systems Architect to lead the integration of quantum computing capabilities with advanced artificial intelligence frameworks. You will be at the forefront of the next industrial revolution, designing scalable infrastructure that bridges the gap between classical silicon and quantum supremacy.
In this pivotal role, you will collaborate with elite researchers and engineers to pioneer next-generation algorithms capable of solving complex problems previously thought unsolvable. If you possess an insatiable curiosity for the future of technology and a deep understanding of high-performance computing, we want to hear from you.
Responsibilities
- Architect Neural-Quantum Hybrids: Design and implement system architectures that seamlessly integrate quantum processors with classical AI neural networks to enhance computational speed and accuracy.
- Algorithm Optimization: Develop proprietary algorithms optimized for NISQ (Noisy Intermediate-Scale Quantum) devices, focusing on error correction and coherence time maximization.
- Infrastructure Scaling: Oversee the deployment of cloud-native quantum environments, ensuring high availability and security across global data centers.
- Future-Proofing Systems: Anticipate the technological shifts of the 2026 era, proactively updating system roadmaps to accommodate emerging quantum hardware standards.
- Stakeholder Collaboration: Translate complex technical quantum concepts into actionable insights for C-suite executives and product teams to drive strategic innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Experience: Minimum of 7+ years of experience in software architecture, with at least 3 years specifically in quantum computing or AI integration.
- Technical Proficiency: Deep expertise in Python, C++, and quantum programming languages such as Qiskit, Cirq, or Q#.
- Hardware Knowledge: Familiarity with cloud quantum computing platforms (IBM Quantum, AWS Braket, Google Cirq) and on-premise quantum hardware.
- Problem Solving: Proven track record of solving complex system-level challenges and optimizing performance under extreme constraints.