Job Description
We are seeking a visionary AI & Quantum Infrastructure Architect to spearhead the technological evolution of Nexus Future Systems. As we prepare for the paradigm shift of 2026, you will be responsible for designing the computational backbone that integrates next-generation artificial intelligence with quantum computing architectures.
In this role, you will bridge the gap between theoretical physics and practical software engineering, ensuring our platforms are scalable, secure, and future-proof. You will work in a high-performance environment that prioritizes innovation, speed, and excellence.
Why Join Us?
• Work on cutting-edge technology defining the future of computing.
• Competitive compensation and equity packages.
• Remote-first culture with flexible working hours.
Responsibilities
- Architect and deploy scalable AI models specifically optimized for next-generation quantum processors and neuromorphic hardware.
- Lead the technical strategy for migrating legacy systems to 2026-ready cloud infrastructure using edge computing principles.
- Collaborate with hardware engineers to design neural network inference layers that minimize latency on edge devices.
- Develop and implement robust security protocols for decentralized quantum networks and AI data streams.
- Conduct deep research into emerging technologies, including synthetic data generation and reinforcement learning algorithms.
- Mentor a team of junior developers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Proven experience (5+ years) in designing high-availability, distributed systems architecture.
- Deep expertise in Python, C++, and Rust programming languages.
- Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq) or equivalent simulation tools.
- Strong understanding of Machine Learning algorithms, specifically Deep Reinforcement Learning and Transformers.
- Excellent problem-solving skills with a focus on optimizing complex, multi-variable systems.