Job Description
We are on the cusp of a technological revolution. At Nebula Core Systems, we are defining the infrastructure for the 2026 era, integrating next-generation Quantum Computing with advanced Artificial Intelligence. We are seeking a visionary Senior Quantum AI Architect to lead our R&D division in building systems that are not just efficient, but sentient-ready.
In this role, you won't just write code; you will architect the future of human-computer interaction. You will work with cutting-edge hardware and neural networks to solve problems that were deemed impossible just a decade ago. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape of 2026, we want to meet you.
Why Join Us?
- Work with the brightest minds in Silicon Valley.
- Competitive equity package and remote-first flexibility.
- Direct access to quantum hardware prototypes.
Responsibilities
- Lead the Architecture: Design and implement scalable quantum-classical hybrid algorithms tailored for 2026 enterprise standards.
- System Optimization: Oversee the migration of legacy systems to next-gen decentralized cloud infrastructures, ensuring zero-latency data processing.
- R&D Leadership: Spearhead research initiatives in Neural Interfaces and Predictive AI models, translating theoretical research into deployable products.
- Cross-Functional Collaboration: Partner with product managers, security experts, and hardware engineers to deliver robust, future-proof solutions.
- Talent Development: Mentor a team of junior architects and data scientists, fostering a culture of innovation and continuous learning.
- Compliance & Ethics: Ensure all AI implementations adhere to the strict ethical guidelines and security protocols of the 2026 regulatory landscape.
Qualifications
- Education: Master’s degree in Computer Science, Physics, or a related field (PhD preferred) with a focus on Quantum Mechanics or Machine Learning.
- Experience: 5+ years of experience in AI/ML architecture, with at least 2 years specifically in Quantum Computing or High-Performance Computing (HPC).
- Technical Skills: Proficiency in Python, C++, TensorFlow/PyTorch, and quantum SDKs such as Qiskit or Cirq.
- Problem Solving: Exceptional ability to troubleshoot complex, multi-dimensional system architectures and optimize for performance and energy efficiency.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects from conception to deployment.
- Future-Forward Mindset: Deep understanding of emerging tech trends, specifically relevant to the 2026 technological horizon.