Job Description
Join Horizon Labs, a pioneer in the 2026 Technology Initiative, as we redefine the boundaries of artificial intelligence and quantum computing. We are seeking a visionary Senior Quantum AI Architect to lead the development of next-generation neural networks designed for the future.
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical deep learning applications. You will be responsible for architecting scalable AI systems that leverage quantum processors to solve complex problems currently deemed unsolvable.
Why Join Us?
- Future-Forward Impact: Work on the foundational technologies that will power the next decade of digital evolution.
- Elite Team: Collaborate with world-class researchers and engineers from top-tier institutions.
- Competitive Compensation: A robust salary package with performance-based bonuses.
Responsibilities
- Architect & Design: Design and implement proprietary quantum neural network architectures optimized for 2026-era hardware.
- Model Optimization: Fine-tune generative AI models to maximize efficiency and accuracy on quantum processors.
- Research & Development: Stay at the forefront of scientific literature to integrate cutting-edge advancements into our production pipeline.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Prototyping: Build and test proof-of-concept systems to validate new algorithms before scaling.
- Cross-Functional Collaboration: Partner with software engineers and product managers to translate complex research into user-centric applications.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Experience: Minimum 7+ years of experience in machine learning, deep learning, or software engineering.
- Technical Skills: Proficiency in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane).
- Knowledge: Deep understanding of quantum mechanics principles and their application to algorithms (Grover's, Shor's, VQE).
- Tools: Extensive experience with cloud platforms (AWS, Azure) and high-performance computing clusters.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to diverse audiences.