Job Description
We are seeking a visionary AI & Quantum Systems Architect to lead our cutting-edge "2026 Horizon" initiative. This is not just a job; it is an opportunity to define the technological landscape of the future. Nexus Horizon is building the infrastructure for a post-silicon era, integrating advanced artificial intelligence with next-generation quantum computing protocols.
As a key member of our elite R&D division, you will bridge the gap between theoretical physics and practical software engineering. You will architect systems that are not only scalable but also future-proof against the rapid evolution of technology in the coming years.
Why Join Us?
- Impactful Work: Directly contribute to the core technology stack that will define the next decade.
- Future-Proofing: Work at the intersection of AI and Quantum computing, a field with immense growth potential.
- Top-Tier Team: Collaborate with world-class engineers and researchers from leading tech institutions.
- Competitive Package: Comprehensive benefits including equity options and continuous learning stipends.
Responsibilities
- Architect Quantum-Resistant Systems: Design and implement software architectures capable of withstanding quantum decryption attacks while optimizing for quantum speedups.
- Lead AI Integration: Spearhead the integration of Generative AI models with high-performance computing clusters to solve complex logistical problems.
- Strategic Roadmapping: Define the technical roadmap for the 2026 release cycle, ensuring alignment with business goals and emerging industry standards.
- Code Review & Mentorship: Conduct rigorous technical reviews and mentor a team of junior architects and engineers to maintain high code quality.
- Performance Optimization: Analyze and optimize system bottlenecks in real-time data processing environments.
- Vendor Management: Evaluate and select third-party quantum hardware and AI software solutions.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or Physics; PhD preferred.
- Experience: 8+ years of experience in systems architecture, with at least 3 years specifically in AI or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and Rust; deep understanding of Qiskit, Cirq, or similar quantum computing frameworks.
- Cloud Mastery: Extensive experience designing solutions on AWS, Azure, or Google Cloud Platform with a focus on edge computing.
- Leadership: Proven track record of leading cross-functional teams and managing large-scale projects.
- Innovation: Strong ability to translate theoretical concepts into practical, scalable engineering solutions.