Job Description
We are not just building software for today; we are architecting the digital reality for 2026 and beyond. At Nexus Horizon, we are at the forefront of the Quantum-AI convergence, developing systems that predict market shifts and optimize global logistics in real-time. We are seeking a visionary Senior AI & Quantum Integration Architect to lead our R&D division.
In this role, you will bridge the gap between theoretical quantum mechanics and practical AI application. You will design scalable neural architectures that operate on quantum processors, ensuring our solutions remain ahead of the curve. If you are passionate about the future of computing and possess a knack for solving complex, unsolved problems, we want to meet you.
Why Join Us?
⢠Work on 2026-ready technology stack.
⢠Competitive equity package and salary.
⢠Flexible remote-first culture.
⢠Access to cutting-edge quantum hardware.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable AI models integrated with quantum computing frameworks to solve high-dimensional problems.
- Research Leadership: Lead internal R&D initiatives, exploring new frontiers in machine learning, natural language processing, and quantum entanglement for data processing.
- Strategic Vision: Define the technical roadmap for the company's 2026 product line, ensuring alignment with business objectives and emerging industry standards.
- Mentorship: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with cross-functional teamsâincluding hardware engineers and product managersâto translate complex technical concepts into user-centric solutions.
- Performance Optimization: Continuously optimize existing algorithms for latency reduction and computational efficiency in cloud environments.
Qualifications
- Education: Masterâs or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI and Quantum Mechanics.
- Experience: 8+ years of professional experience in software architecture, specifically with AI/ML frameworks (TensorFlow, PyTorch) and distributed systems.
- Technical Skills: Proficiency in Python, C++, and quantum programming languages (Qiskit, Cirq). Experience with cloud platforms (AWS, GCP, Azure).
- Problem Solving: Demonstrated ability to tackle ambiguous, high-impact problems with creative, out-of-the-box solutions.
- Leadership: Proven track record of leading technical teams and managing complex projects from conception to deployment.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.