Job Description
Shape the Computational Future. Nexus Horizon is at the forefront of the 2026 technology revolution. We are seeking a visionary Senior AI & Quantum Systems Architect to lead our next-generation computing initiatives. If you are passionate about solving complex problems at the intersection of artificial intelligence and quantum mechanics, this is your opportunity to build the infrastructure of tomorrow.
As a key leader in our R&D division, you will be responsible for architecting scalable systems that leverage the latest advancements in quantum computing and neural networks. We value bold thinking, technical excellence, and a relentless drive to innovate.
What You Will Do:
- Lead the architectural design of hybrid quantum-classical systems.
- Oversee the deployment of machine learning models on next-gen hardware.
- Mentor senior engineers and define technical standards for the 2026 stack.
- Conduct research into emerging AI paradigms and optimization techniques.
- Ensure system scalability, security, and fault tolerance.
Requirements:
- PhD in Computer Science, Physics, or a related quantitative field.
- 10+ years of experience in software architecture and AI engineering.
- Expertise in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Deep understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Proven track record of leading high-impact technical projects.
Join us in defining the future of technology.
Responsibilities
- Design and implement scalable AI architectures integrating quantum computing elements.
- Lead a cross-functional team of engineers, data scientists, and researchers.
- Define technical roadmaps and best practices for the 2026 technology stack.
- Conduct deep-dive research into emerging AI models and quantum algorithms.
- Ensure system reliability, security, and performance under extreme computational loads.
- Collaborate with product leadership to translate abstract concepts into deployable software.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
- 10+ years of experience in software architecture, with at least 5 years focused on AI and machine learning.
- Strong proficiency in Python, C++, and quantum programming frameworks (e.g., Qiskit, Cirq).
- Experience with distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization.
- Demonstrated ability to lead teams through complex technical challenges.
- Passion for the future of technology and a deep understanding of the 2026 AI landscape.