Job Description
Are you ready to define the technological landscape of 2026? Horizon Systems is at the forefront of the next industrial revolution, and we are seeking a visionary Quantum Artificial Intelligence Architect to lead our groundbreaking research division. You won't just be building algorithms; you will be architecting the fundamental logic of tomorrow's intelligent systems.
Our mission is to bridge the gap between quantum mechanics and deep learning, creating models that solve problems currently deemed unsolvable. If you have a passion for the future and a mastery of cutting-edge technology, we want to hear from you.
Why join us?
• Work on projects that will redefine humanity's potential.
• Competitive compensation and equity packages.
• Access to state-of-the-art quantum processing units and AI clusters.
Responsibilities
- Architect Quantum AI Solutions: Design and implement scalable quantum neural networks and hybrid classical-quantum models.
- Research Leadership: Lead a team of elite engineers and data scientists in exploring new frontiers in machine learning and quantum entanglement.
- System Optimization: Develop algorithms that maximize computational efficiency on next-gen hardware architectures.
- Prototyping: Build rapid prototypes for future-proof technologies, including predictive modeling for complex systems.
- Collaboration: Partner with cross-functional teams to integrate quantum insights into broader product ecosystems.
Qualifications
- Education: PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
- Experience: At least 5 years of experience in AI/ML engineering, with a strong preference for experience in quantum computing frameworks (e.g., Qiskit, Cirq, or similar).
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and advanced linear algebra.
- Strategic Thinking: Proven ability to think abstractly and translate theoretical concepts into practical applications.
- Communication: Exceptional ability to communicate complex technical ideas to both technical and non-technical stakeholders.