Job Description
Are you ready to architect the digital frontier? Horizon Nexus is seeking a visionary Senior AI & Quantum Systems Architect to lead our mission into the next decade. In this pivotal role, you will design scalable, secure, and high-performance systems that leverage the convergence of artificial intelligence and quantum computing.
We are not just building for today; we are engineering the infrastructure of 2026 and beyond. You will collaborate with world-class engineers to build the next generation of distributed intelligence, ensuring our platforms remain at the bleeding edge of technological evolution. If you have a passion for solving complex problems and shaping the future of technology, this is your opportunity to make an indelible mark.
Why Join Us?
We offer competitive compensation, equity packages, and the chance to work on projects that redefine the boundaries of what is possible. Our culture fosters innovation, autonomy, and continuous learning.
Responsibilities
- Design and implement resilient, scalable architecture for AI-driven applications and quantum computing integrations.
- Lead the technical strategy for transitioning legacy systems to next-gen 2026-ready infrastructure.
- Mentor and guide a team of senior engineers, fostering a culture of technical excellence and innovation.
- Collaborate with cross-functional teams (Data Science, Security, Product) to define technical requirements and roadmaps.
- Ensure system security, compliance, and performance optimization at global scale.
- Stay ahead of emerging technologies, including neuromorphic computing and advanced ML paradigms.
- Conduct code reviews and architectural assessments to maintain high engineering standards.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in AI/ML or high-performance computing.
- Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
- Deep expertise in Quantum Computing frameworks (e.g., Qiskit, Cirq) and AI/ML libraries (TensorFlow, PyTorch).
- Proficiency in Python, C++, and Rust, with experience in cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of leading large-scale technical projects and mentoring engineering teams.
- Strong understanding of distributed systems, microservices, and cybersecurity best practices.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.