Job Description
Are you ready to architect the future of intelligent systems? Nexus Horizon Labs is pioneering the next generation of post-silicon AI and quantum integration. We are looking for a visionary Senior AI & Quantum Systems Architect to lead our R&D division and define the technological landscape for 2026 and beyond.
In this role, you won't just write code; you will shape the fundamental algorithms that drive our next-gen predictive models and quantum computing interfaces. You will work at the intersection of theoretical physics and software engineering to build scalable, efficient, and ethically aligned AI ecosystems.
Why join us? We offer competitive equity, a flexible remote-first culture, and the opportunity to work on projects that redefine human-machine interaction.
Responsibilities
- Design and implement advanced hybrid quantum-classical machine learning models capable of processing complex datasets in real-time.
- Lead the architectural roadmap for future AI systems, ensuring scalability, security, and performance for the 2026 ecosystem.
- Collaborate with cross-functional teams of physicists, data scientists, and software engineers to translate theoretical research into production-ready code.
- Optimize neural network architectures for edge computing environments and quantum processors.
- Establish best practices for ethical AI governance and data integrity in decentralized systems.
- Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related technical field with a focus on AI and Quantum Computing.
- 10+ years of experience in full-stack software development, with at least 5 years in AI/ML architecture.
- Proficiency in Python, C++, and Rust, with specific experience in quantum computing frameworks (e.g., Qiskit, Cirq).
- Deep understanding of machine learning algorithms, neural networks, and optimization techniques.
- Strong problem-solving skills and the ability to work in ambiguous, high-stakes environments.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.