Job Description
Join the Future of Intelligence at Horizon 2026
Horizon 2026 is a pioneering force in the next generation of computing, dedicated to bridging the gap between classical machine learning and quantum supremacy. We are seeking a visionary Senior AI & Quantum Architect to lead our research division. If you are passionate about pushing the boundaries of what is possible in AI and have a knack for solving complex, unsolved problems, we want to meet you.
In this role, you will be at the helm of designing scalable neural architectures that leverage quantum computing paradigms. You will work in a dynamic, high-performance environment with top-tier engineers and scientists. This is not just a job; it is an opportunity to define the technological landscape of the year 2026 and beyond.
Responsibilities
- Lead R&D Initiatives: Spearhead the development of advanced AI models that integrate quantum algorithms to solve optimization problems.
- System Architecture: Design and implement robust, scalable cloud-native architectures for high-throughput data processing.
- Model Optimization: Fine-tune large language models (LLMs) and neural networks to ensure maximum efficiency on heterogeneous hardware.
- Mentorship: Guide a team of junior data scientists and machine learning engineers, fostering a culture of innovation and continuous learning.
- Collaboration: Work closely with cross-functional teams in product, engineering, and design to translate technical insights into user-centric solutions.
- Publishing: Contribute to industry-leading research papers and patent applications to establish Horizon 2026 as a thought leader.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: Minimum of 5-7 years of experience in software engineering, machine learning, or AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) or experience in hybrid classical-quantum systems is highly preferred.
- Problem Solving: Proven track record of solving complex technical challenges in large-scale distributed systems.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to diverse audiences.