Job Description
We are pioneering the technological landscape for the year 2026 and beyond. Quantum Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead the design and implementation of next-generation computational systems. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, ensuring our infrastructure is ready for the future.
As a key member of our R&D division, you will define the architectural standards for our proprietary 2026-ready AI stack. You will collaborate with top-tier researchers and engineers to deploy scalable, high-performance solutions that redefine industry standards.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Architect and design hybrid quantum-classical algorithms optimized for the 2026 technology stack.
- Lead the technical roadmap for integrating advanced AI models with quantum hardware infrastructure.
- Provide architectural oversight and mentorship for junior engineers and data scientists.
- Ensure system scalability, security, and fault tolerance in high-stakes environments.
- Collaborate with product teams to translate futuristic concepts into deployable software solutions.
- Conduct rigorous code reviews and establish best practices for the engineering team.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Proven track record of leading large-scale technical projects from conception to deployment.
- Familiarity with next-generation neural network architectures (e.g., Transformers, Graph Neural Networks).
- Strong problem-solving skills with a focus on optimization and efficiency.
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.