Job Description
Architect the Future. At Nexus Horizon Technologies, we aren't just predicting the year 2026; we are building the infrastructure to make it a reality. We are seeking a visionary Lead AI & Quantum Systems Architect to join our elite research division. In this pivotal role, you will define the architectural standards for our next-generation neural networks and hybrid quantum computing systems.
You will work at the intersection of theoretical physics and practical software engineering, ensuring our platforms are scalable, secure, and ready to handle the exponential data growth of the coming decade. If you are a thought leader who thrives on solving unsolvable problems, this is your chance to define the technological landscape of the future.
Why Join Us?
• Work on high-impact projects that will shape the global tech landscape.
• Access to cutting-edge quantum hardware and proprietary AI models.
• Competitive compensation and equity packages for top-tier talent.
Responsibilities
- Design and implement scalable, fault-tolerant AI architectures designed for 2026-scale data volumes.
- Lead the integration of hybrid quantum-classical algorithms into existing machine learning pipelines.
- Conduct rigorous architectural reviews to identify potential bottlenecks and security vulnerabilities.
- Define and evangelize technical best practices for the engineering team, including coding standards and deployment protocols.
- Collaborate with cross-functional teams of data scientists, physicists, and hardware engineers to translate research into production-ready software.
- Optimize system performance for real-time inference and low-latency quantum feedback loops.
Qualifications
- PhD or Master’s degree in Computer Science, Applied Physics, or a related technical field.
- Minimum 7 years of experience in software architecture, with a focus on AI/ML, distributed systems, or quantum computing.
- Deep expertise in Python, C++, and modern deep learning frameworks (TensorFlow, PyTorch).
- Experience with quantum computing platforms (e.g., Qiskit, Cirq, or similar) is highly preferred.
- Strong understanding of cloud-native technologies (AWS, GCP) and containerization (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.