Job Description
We are pioneering the technological infrastructure of tomorrow. Nexus Horizon Labs is looking for a visionary Senior AI & Quantum Systems Architect to lead our research division.
In this role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms. You will be responsible for designing scalable, high-performance systems that define the user experience of the 2026 era and beyond.
Join a team of world-class engineers and scientists dedicated to pushing the boundaries of what is possible in artificial intelligence and computational physics.
Responsibilities
- Architecture Design: Spearhead the architectural vision for our next-generation AI engines, integrating quantum algorithms into classical workflows.
- System Optimization: Lead the optimization of large-scale distributed systems, ensuring sub-millisecond latency for global applications.
- Team Leadership: Mentor a high-performing team of AI engineers and data scientists, fostering a culture of innovation and continuous learning.
- Research Integration: Evaluate and integrate cutting-edge research papers into production-ready code, prioritizing ethical AI standards.
- Security & Compliance: Implement rigorous security protocols and compliance frameworks to protect sensitive neural network models.
- Stakeholder Communication: Translate complex technical concepts into clear, compelling narratives for executive stakeholders and investors.
Qualifications
- Education: Ph.D. in Computer Science, Physics, or a related field; Master’s degree with 8+ years of relevant experience is also acceptable.
- Experience: Minimum of 10 years of experience in full-stack software engineering, with a strong focus on AI/ML infrastructure.
- Quantum Proficiency: Demonstrable experience with quantum computing frameworks (e.g., Qiskit, Cirq) and quantum circuit simulation.
- Programming: Expert-level proficiency in Python, Rust, and Go; strong understanding of low-level systems programming.
- Cloud Mastery: Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.