Job Description
Are you ready to define the technological landscape of 2026 and beyond?
Nexus Horizon Labs is seeking a visionary Lead AI & Quantum Systems Architect to spearhead the integration of Artificial Intelligence and next-generation Quantum computing infrastructure. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications, ensuring our platforms remain at the forefront of innovation.
We are not just building software; we are architecting the future of computation. If you thrive in ambiguity and possess an obsession with scalability and performance, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust, scalable architectures that seamlessly integrate quantum algorithms with classical AI models.
- Lead Technical Vision: Define the technical roadmap for AI/Quantum hybrid solutions, aligning them with business goals and 2026 strategic milestones.
- High-Performance Computing: Optimize data pipelines and computational workflows to leverage quantum hardware capabilities effectively.
- Team Leadership: Mentor a world-class team of engineers and researchers, fostering a culture of innovation, curiosity, and excellence.
- Stakeholder Collaboration: Act as the primary technical bridge between R&D, engineering, and executive leadership to translate complex concepts into actionable strategies.
- Risk Management: Identify potential technical bottlenecks and architectural risks early in the development lifecycle.
Qualifications
- Experience: 8+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML or High-Performance Computing (HPC).
- Technical Mastery: Deep expertise in Python, C++, and Rust, with demonstrated experience working with quantum computing frameworks (e.g., Qiskit, Cirq) or simulators.
- Cloud Proficiency: Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Education: Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field is highly preferred.
- Leadership: Proven track record of leading cross-functional teams and managing complex technical projects from conception to deployment.
- Forward-Thinking Mindset: Ability to anticipate future trends in AI and Quantum computing and apply them to current business challenges.