Job Description
Are you ready to architect the infrastructure of tomorrow? NEXUS AI & Quantum Dynamics is seeking a visionary Senior AI & Quantum Systems Architect to lead the integration of Artificial General Intelligence (AGI) with next-generation Quantum Computing paradigms.
In this pivotal role, you will bridge the gap between theoretical physics and applied machine learning, laying the groundwork for the technological leap we anticipate in 2026. You will design scalable architectures that leverage quantum supremacy to solve complex, unsolvable problems today. Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible.
Why Join Us?
- Impact: Directly influence the roadmap for the post-silicon era of computing.
- Compensation: Competitive salary plus equity in a Series A startup.
- Benefits: Comprehensive health coverage, unlimited PTO, and remote-first flexibility.
Responsibilities
- Architect Hybrid Systems: Design and implement high-performance architectures that integrate classical neural networks with quantum gate models to accelerate training times.
- R&D Leadership: Spearhead research into quantum error correction and its application to deep learning models.
- System Optimization: Optimize algorithms for quantum hardware constraints, ensuring maximum qubit efficiency and coherence times.
- Cross-Functional Collaboration: Work closely with data scientists and quantum physicists to translate theoretical research into production-ready software.
- Technical Mentorship: Mentor a team of junior architects and engineers, fostering a culture of innovation and technical excellence.
- Roadmap Planning: Define the technical strategy for the 2026 release cycle, identifying key technological milestones.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Computational Mathematics, or a related field.
- Experience: 7+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML or High-Performance Computing (HPC).
- Technical Skills: Deep proficiency in Python, C++, and CUDA; experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- AI Expertise: Strong background in Transformer models, reinforcement learning, and large language model (LLM) architectures.
- Problem Solving: Demonstrated ability to solve complex, open-ended problems in abstract computing environments.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse stakeholders.