Job Description
We are pioneering the next generation of intelligent systems. As we look toward the 2026 roadmap, we need a visionary leader to bridge the gap between quantum mechanics and deep learning. Nexus Horizon Labs is seeking a Quantum AI Architect to design scalable architectures that will define the future of computing.
In this role, you will not just write code; you will shape the fundamental paradigms of how machines learn in a quantum-enhanced world. You will collaborate with world-class researchers to integrate quantum algorithms into production-grade AI systems.
Why Join Us?
- Work on cutting-edge technology with a competitive equity package.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to state-of-the-art quantum hardware and research facilities.
Responsibilities
- Design and architect scalable quantum-AI systems capable of handling complex, multi-dimensional datasets.
- Develop and optimize quantum circuits for machine learning inference tasks.
- Lead the technical strategy for integrating quantum processors with classical AI frameworks.
- Collaborate with cross-functional teams of physicists and software engineers to translate theoretical research into practical applications.
- Ensure the security, efficiency, and robustness of deployed AI models on hybrid hardware.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Stay abreast of the latest advancements in quantum computing and AI to guide the company's technical direction.
Qualifications
- Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of experience in software engineering, with a strong focus on Artificial Intelligence and Machine Learning.
- Deep understanding of quantum computing principles, including qubits, superposition, and entanglement.
- Proficiency in programming languages such as Python, C++, and Qiskit or Cirq.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.