Job Description
The Future of Computing Awaits.
Nexus Horizon Labs is pioneering the technological landscape of tomorrow. We are seeking a visionary Senior Quantum & AI Architect to lead our R&D division focused on the 2026 tech stack. In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable machine learning applications.
You will be responsible for architecting next-generation computational solutions that will define the industry standards for the coming decade. If you are passionate about pushing the boundaries of what is possible and want to build the infrastructure of the future, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable quantum computing architectures integrated with modern AI/ML frameworks.
- Algorithm Development: Develop and optimize quantum algorithms for complex problem-solving in logistics, finance, and healthcare.
- Model Integration: Spearhead the integration of Generative AI models into core infrastructure pipelines.
- Technical Leadership: Mentor a team of engineers and data scientists, conducting rigorous code reviews and architectural assessments.
- Research & Development: Stay ahead of industry trends, specifically focusing on advancements expected by 2026, including neuromorphic computing and edge AI.
- Stakeholder Communication: Translate complex technical concepts into actionable roadmaps for non-technical stakeholders and investors.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software architecture, with a strong focus on AI and high-performance computing.
- Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and quantum simulation tools (e.g., Qiskit, Cirq).
- Cloud Expertise: Deep experience deploying scalable systems on AWS, Azure, or Google Cloud Platform.
- Problem Solving: Demonstrated ability to solve complex engineering challenges with innovative solutions.
- Soft Skills: Exceptional communication skills and a collaborative mindset.