Job Description
Are you ready to architect the future of intelligence? Nebula Core Technologies is seeking a visionary Senior AI & Quantum Architect to spearhead the development of next-generation systems designed for the 2026 era. We are pioneering post-silicon computing and neural interfaces, and we need a technical leader who can bridge the gap between theoretical quantum mechanics and practical, scalable AI applications.
In this role, you will not just write code; you will define the architecture of tomorrow. You will be responsible for designing resilient, high-performance neural networks that integrate seamlessly with emerging quantum processors. If you are passionate about the Singularity and have the expertise to build the foundational layers of a hyper-intelligent future, we want to meet you.
Why Join Us?
- Impactful Work: Directly influence the trajectory of global computing power.
- Future-Ready Environment: Work with state-of-the-art tools in a culture that anticipates the needs of 2026 and beyond.
- Competitive Compensation: We offer a top-tier salary package including equity and performance bonuses.
Responsibilities
- Architectural Design: Design and implement scalable, fault-tolerant neural network architectures optimized for hybrid quantum-classical computing environments.
- Quantum Integration: Lead the integration of quantum algorithms into existing machine learning pipelines to enhance computational efficiency and problem-solving capabilities.
- Research & Development: Conduct in-depth research on emerging AI paradigms, including neuromorphic computing and edge AI, specifically tailored for the 2026 technological landscape.
- Team Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Prototyping: Build high-fidelity prototypes and proof-of-concepts to validate architectural decisions before full-scale deployment.
- Cross-Functional Collaboration: Collaborate with product managers, quantum physicists, and hardware engineers to align technical roadmaps with business goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on AI and Quantum Computing.
- Experience: Minimum of 8+ years of professional experience in software engineering, with at least 4 years specifically in advanced AI/ML architecture.
- Technical Expertise: Deep understanding of machine learning frameworks (TensorFlow, PyTorch, JAX) and experience with quantum computing libraries (Qiskit, Cirq, or similar).
- Programming: Proficiency in Python, C++, and Rust; experience with GPU acceleration (CUDA) is highly preferred.
- Problem Solving: Demonstrated ability to solve complex, novel problems at the intersection of AI and physics.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.