Job Description
Are you ready to define the technological landscape of the future? Nebula Core Technologies is seeking a visionary Senior AI & Quantum Architect to lead our next-generation infrastructure initiatives. In this role, you will bridge the gap between advanced artificial intelligence and quantum computing, building the foundational systems required for the 2026 era.
We are looking for a forward-thinking leader who is not just comfortable with the unknown, but thrives in it. If you want to work on projects that will define how humanity interacts with machines and data in the coming decades, this is your opportunity.
Why Join Us?
- Future-Proofing: Work on cutting-edge R&D that prepares our infrastructure for the quantum leap.
- Innovation First: A culture that prioritizes creativity, experimentation, and blue-sky thinking.
- Global Impact: Your work will directly influence the trajectory of global AI development.
Responsibilities
- Design and architect scalable, hybrid quantum-classical AI systems for high-performance computing environments.
- Lead the research and development of next-gen algorithms capable of processing petabyte-scale datasets in real-time.
- Collaborate with cross-functional teams of physicists, data scientists, and software engineers to integrate quantum hardware into existing AI pipelines.
- Mentor junior developers and architects, fostering a culture of continuous learning and technical excellence.
- Identify emerging technologies in the AI/Quantum space and assess their potential impact on our product roadmap.
- Ensure system security, scalability, and compliance with international data regulations.
- Present complex technical concepts to stakeholders and executive leadership with clarity and precision.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- 5+ years of experience in software architecture, with a strong focus on machine learning and AI.
- Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq, or PennyLane).
- Proficiency in Python, C++, and high-performance computing languages.
- Deep understanding of neural networks, deep reinforcement learning, and optimization algorithms.
- Experience deploying AI solutions on cloud platforms (AWS, GCP, Azure).
- Exceptional problem-solving skills and the ability to work in a fast-paced, dynamic environment.