Job Description
Are you ready to architect the systems that will define the technological landscape of 2026? Horizon Nexus is seeking a visionary AI & Quantum Hybrid Systems Engineer to lead our cutting-edge research division. We are not just building software for today; we are engineering the infrastructure for a tomorrow where artificial intelligence seamlessly integrates with quantum computing capabilities.
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will work in a high-performance environment focused on solving complex, unsolvable problems using next-generation algorithms.
Why Join Us?
We offer a competitive equity package, remote-first flexibility, and the opportunity to work on projects that have a global impact. You will be surrounded by the brightest minds in the tech industry, pushing the boundaries of what is possible.
Responsibilities
- Architect Next-Gen Models: Design and deploy advanced neural network architectures optimized for hybrid quantum-classical computing environments.
- Roadmap Strategy: Define the technical roadmap for Horizon Nexus' 2026 product suite, focusing on AI scalability and quantum acceleration.
- Research & Development: Conduct rigorous research into emerging AI paradigms, including reinforcement learning, generative adversarial networks, and large language models.
- System Optimization: Refine existing codebases to improve latency, throughput, and energy efficiency in distributed AI systems.
- Cross-Functional Leadership: Collaborate with data scientists, quantum physicists, and software engineers to integrate AI solutions into core business products.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Physics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying scalable machine learning models.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and C++ for high-performance computing.
- Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) or experience in hybrid algorithm development is highly preferred.
- Problem Solving: Ability to tackle ambiguous problems and derive innovative solutions for complex system integrations.