Job Description
We are on the precipice of a technological revolution. Nexus Horizon Technologies is seeking a visionary Lead Quantum-AI Architect to design the foundational infrastructure for the year 2026 and beyond. In this role, you will bridge the gap between theoretical quantum mechanics and practical artificial intelligence, leading a high-performance team to build systems that are currently thought impossible.
You will be responsible for architecting scalable quantum-classical hybrid systems that redefine computational limits. If you are driven by the challenge of solving the world's most complex problems and want to define the roadmap for 2026, we want to hear from you.
Why Join Us?
- Work on projects that will define the future of technology.
- Competitive salary and equity package.
- Flexible remote-first culture with premium office amenities in SF.
- Access to cutting-edge hardware and research facilities.
Responsibilities
- Architect Quantum-Classical Systems: Design and implement complex hybrid algorithms that leverage quantum computing power for real-world AI applications by 2026.
- Team Leadership: Mentor and guide a team of senior engineers, data scientists, and quantum physicists to drive technical excellence.
- Strategy & Roadmap: Define the technical roadmap for our AI infrastructure, ensuring alignment with business goals and future technology trends.
- Optimization: Continuously optimize computational efficiency, reducing latency and maximizing throughput for our AI models.
- Collaboration: Partner with cross-functional teams including product management, R&D, and security to integrate quantum solutions into the broader tech stack.
- Pioneering Research: Stay ahead of the curve on emerging quantum computing paradigms and AI evolution to ensure our platform remains future-proof.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field; equivalent practical experience is a plus.
- Experience: 7+ years of experience in software architecture, with at least 3 years specifically focused on Artificial Intelligence and Machine Learning.
- Technical Skills: Deep proficiency in Python, C++, and quantum programming languages (e.g., Q#, Qiskit). Experience with cloud platforms (AWS, GCP, Azure).
- Quantum Knowledge: Strong understanding of quantum computing principles, quantum gates, and quantum error correction.
- Leadership: Proven track record of leading technical teams and managing large-scale projects from conception to deployment.
- Problem Solving: Exceptional analytical skills with a passion for tackling unsolved problems in computational intelligence.