Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Quantum AI Architect to spearhead our next-generation computational infrastructure. In this pivotal role, you will bridge the gap between classical machine learning and quantum supremacy, designing systems that solve complex problems previously deemed unsolvable.
We are not just building software; we are architecting the future of human-computer interaction. If you are a thought leader with a passion for pushing boundaries and a deep understanding of quantum mechanics applied to artificial intelligence, we want to hear from you.
Why Nexus Horizon?
- Work on projects that directly impact the trajectory of global technology.
- Competitive compensation package with equity opportunities.
- Access to state-of-the-art quantum hardware and AI research labs.
- Flexible remote-first culture with quarterly in-person innovation summits.
Join us in building the foundation for the 2026 era of computing.
Responsibilities
- Design & Development: Architect and deploy scalable quantum algorithms integrated with classical neural networks to optimize performance for 2026-era computational loads.
- R&D Leadership: Lead a team of researchers and engineers in exploring new frontiers in quantum error correction and machine learning inference.
- System Integration: Oversee the integration of quantum processors with cloud infrastructure to ensure seamless data flow and processing power.
- Strategic Planning: Define the technical roadmap for quantum AI adoption within the organization, anticipating industry shifts up to 2026 and beyond.
- Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business solutions.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
- Experience: Minimum of 8 years of experience in software architecture, with at least 3 years specifically in quantum computing or advanced AI systems.
- Technical Skills: Proficiency in programming languages such as Python, Qiskit, C++, and CUDA; deep understanding of linear algebra and statistical mechanics.
- Problem Solving: Proven track record of solving complex engineering challenges and developing innovative solutions for unstructured problems.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical strategies to non-technical stakeholders.
- Adaptability: A growth mindset with the ability to adapt quickly to rapidly evolving technologies and market demands.