Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon is pioneering the next generation of computing solutions. We are seeking a visionary Senior AI & Quantum Architect to lead our research and development in hybrid quantum-classical systems.
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical AI applications, designing scalable infrastructures that solve complex global challenges. Join a team of elite engineers and scientists dedicated to pushing the boundaries of what is possible in the year 2026.
Why Join Us?
- Work on groundbreaking technology that will define the future.
- Competitive compensation package and equity options.
- Flexible remote-first policies with access to premium San Francisco facilities.
Responsibilities
- Lead the architectural design and implementation of hybrid quantum-classical algorithms for enterprise-scale applications.
- Oversee the research roadmap for next-generation AI models, ensuring alignment with 2026 technological milestones.
- Collaborate with cross-functional teams of physicists, data scientists, and software engineers to integrate quantum processors into standard AI workflows.
- Mentor junior architects and researchers, fostering a culture of innovation and continuous learning.
- Ensure system scalability, security, and efficiency across distributed quantum computing environments.
- Present technical strategies to executive leadership and external stakeholders to drive investment and adoption.
- Conduct rigorous testing and validation of quantum error correction protocols.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
- Minimum of 8 years of experience in software architecture, with at least 3 years specifically in AI/ML or quantum computing research.
- Proficiency in programming languages such as Python, Rust, and C++.
- Deep understanding of quantum computing frameworks (e.g., Qiskit, Cirq) and AI frameworks (e.g., PyTorch, TensorFlow).
- Experience with cloud infrastructure (AWS, Azure, Google Cloud) and edge computing.
- Strong problem-solving skills and the ability to navigate ambiguity in emerging technologies.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.