Job Description
Shape the Future of Computation in 2026.
Nexus Horizon Labs is on a mission to redefine the boundaries of artificial intelligence and quantum mechanics. We are looking for a visionary Lead AI & Quantum Architect to design the infrastructure that will power the next industrial revolution. In this role, you will bridge the gap between theoretical physics and practical application, creating systems that are not just efficient, but sentient-ready.
As we accelerate towards the 2026 timeline, we need a leader who can navigate the complex intersection of Large Language Models (LLMs) and quantum computing to solve humanity's most challenging problems.
Responsibilities
- Architect Quantum-Ready AI Systems: Design scalable neural networks capable of interfacing with future quantum processors and hybrid computing environments.
- Lead Strategic R&D: Spearhead the development of novel algorithms that leverage quantum supremacy for predictive modeling and optimization.
- System Integration: Oversee the seamless integration of advanced LLMs with distributed edge computing nodes to ensure real-time data processing.
- Team Leadership: Mentor a team of elite engineers and data scientists, fostering a culture of innovation, rapid prototyping, and technical excellence.
- Future-Proof Roadmapping: Define the long-term technical roadmap for our 2026 product suite, ensuring alignment with emerging global tech standards.
Qualifications
- Advanced Education: PhD in Computer Science, Physics, Mathematics, or a related field (or equivalent extensive experience).
- Technical Expertise: 10+ years of experience in AI/ML architecture, with specific proficiency in Quantum Computing frameworks (Qiskit, Cirq) or high-performance computing.
- Programming Mastery: Deep proficiency in Python, C++, TensorFlow, PyTorch, and cloud-native architectures (AWS/Azure/GCP).
- Strategic Vision: Demonstrated ability to anticipate technological trends and adapt legacy systems for next-gen paradigms.
- Leadership Experience: Proven track record of leading high-performing engineering teams through complex, multi-year projects.