Job Description
Shape the Future of Computing at Nexus Horizon
Are you ready to architect the infrastructure of tomorrow? Nexus Horizon is seeking a visionary AI & Quantum Integration Lead to spearhead the convergence of artificial intelligence and quantum computing. In this pivotal role, you will design the next-generation neural architectures that bridge classical and quantum data streams, positioning us at the forefront of the 2026 technology landscape.
We are not just building software; we are engineering the cognitive fabric of the future. If you possess an elite technical background and a passion for solving the world's most complex computational challenges, we want to meet you.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable AI systems that leverage quantum hardware to solve complex optimization problems in real-time.
- Hybrid Model Development: Develop sophisticated algorithms that seamlessly integrate classical machine learning models with quantum processors.
- R&D Leadership: Lead a high-performing team of researchers and engineers in exploring novel architectures for AGI (Artificial General Intelligence) readiness.
- Performance Optimization: Continuously refine model inference speeds and energy efficiency to meet enterprise-grade standards.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate abstract research into production-ready applications.
- Trend Analysis: Monitor emerging technologies in the 2026 tech ecosystem to drive innovation and maintain our competitive edge.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, or a related field with a focus on Quantum Mechanics or Artificial Intelligence.
- Experience: 7+ years of experience in software engineering, machine learning, or systems architecture with a focus on high-scale distributed systems.
- Tech Stack: Proficiency in Python, TensorFlow/PyTorch, and experience with quantum computing frameworks (e.g., Qiskit, Cirq, or Rigetti).
- Problem Solving: Demonstrated ability to solve complex, open-ended problems in ambiguous environments.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders.
- Innovation: A deep passion for the future of AI and a track record of patentable or groundbreaking contributions.