Job Description
Join Nexus Horizon, a pioneer in next-generation technology infrastructure, as we architect the foundational systems for the year 2026 and beyond. We are seeking a visionary Lead Quantum-AI Systems Architect to bridge the gap between theoretical quantum supremacy and practical, scalable AI applications. In this role, you will define the architectural roadmap for our proprietary neural-quantum processing units, ensuring resilience, efficiency, and scalability in a rapidly evolving digital landscape.
Why Join Us?
- Work on the bleeding edge of technology defining the 2026 standard.
- Competitive compensation package including equity and performance bonuses.
- Access to state-of-the-art labs and resources.
- Flexible remote-first policy with a hub in the heart of San Francisco.
We are looking for a thought leader who is not just building software, but is shaping the future of computing.
Responsibilities
- Architect and design high-performance, distributed systems integrating quantum computing principles with deep learning frameworks.
- Lead a cross-functional team of engineers, data scientists, and quantum physicists to translate theoretical models into production-ready code.
- Define technical strategies, coding standards, and best practices for the 2026 tech stack.
- Conduct rigorous performance testing and optimization to ensure system latency is minimized under quantum loads.
- Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
- Collaborate with product stakeholders to align technical roadmaps with business goals.
Qualifications
- Master’s or Ph.D. in Computer Science, Quantum Physics, Applied Mathematics, or a related field (10+ years of experience).
- Proven experience designing scalable systems for high-volume, low-latency environments.
- Deep understanding of quantum algorithms, qubit manipulation, and quantum error correction.
- Expertise in Python, C++, and distributed systems (Kubernetes, Docker, Microservices).
- Experience with AI/ML frameworks (TensorFlow, PyTorch) and their integration with hardware accelerators.
- Strong leadership skills with a track record of managing technical teams.