Job Description
Join Horizon 2026 Labs, a forward-thinking enterprise pioneering the technological landscape of the future. We are seeking a visionary Quantum AI Architect to spearhead our 2026 roadmap. In this pivotal role, you will bridge the gap between classical artificial intelligence and next-generation quantum computing systems, designing the infrastructure that will power the enterprise of tomorrow.
Why This Role?
- Be at the forefront of the 2026 technological revolution.
- Work with a top-tier team of engineers and data scientists.
- Competitive compensation package including equity.
Key Responsibilities:
- Architect and design quantum-inspired algorithms for scalable AI deployment.
- Lead the integration of quantum hardware accelerators into existing AI pipelines.
- Define the technical vision for the 2026 transition to hybrid computing models.
- Optimize neural network models for high-performance edge environments.
- Ensure data integrity, security, and low-latency communication in distributed systems.
Qualifications:
- PhD or Master’s degree in Computer Science, Physics, or Applied Mathematics.
- 5+ years of experience in machine learning, deep learning, and system architecture.
- Familiarity with quantum computing libraries (Qiskit, Cirq, or similar).
- Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with cloud infrastructure (AWS, Azure, or GCP).
Responsibilities
- Architect and design quantum-inspired algorithms for scalable AI deployment.
- Lead the integration of quantum hardware accelerators into existing AI pipelines.
- Define the technical vision for the 2026 transition to hybrid computing models.
- Optimize neural network models for high-performance edge environments.
- Ensure data integrity, security, and low-latency communication in distributed systems.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or Applied Mathematics.
- 5+ years of experience in machine learning, deep learning, and system architecture.
- Familiarity with quantum computing libraries (Qiskit, Cirq, or similar).
- Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with cloud infrastructure (AWS, Azure, or GCP).