Job Description
We are building the infrastructure of tomorrow. Nova Horizon Technologies is seeking a visionary Future Systems Architect to lead the integration of Generative AI and Quantum Computing into our core platforms. As we prepare for the technological leap of 2026, you will be at the forefront of designing scalable, autonomous systems that redefine industry standards.
Why Join Us?
- Work on cutting-edge projects that shape the future of tech.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in the heart of SF.
Are you ready to architect the world of 2026? Apply today.
Responsibilities
- Architect Next-Gen Infrastructure: Design and oversee the deployment of distributed systems capable of handling petabyte-scale data processing for AI applications.
- Pioneer AI Integration: Lead the integration of LLMs and autonomous agents into legacy enterprise software to automate complex workflows.
- Quantum Readiness: Develop architectural blueprints that are compatible with future quantum computing advancements.
- Security & Compliance: Implement robust cybersecurity protocols to protect sensitive data in a decentralized ecosystem.
- R&D Leadership: Collaborate with a world-class team of researchers to validate new technologies before market release.
- Scalability Planning: Ensure system architecture can scale efficiently to meet projected growth demands through 2026 and beyond.
Qualifications
- Experience: 8+ years of experience in software architecture, cloud infrastructure (AWS/Azure/GCP), and systems design.
- Technical Mastery: Proficiency in Python, Rust, or Go, with deep knowledge of Docker, Kubernetes, and microservices.
- AI Expertise: Strong understanding of Machine Learning pipelines, Neural Networks, and Large Language Models.
- Quantum Background: Familiarity with quantum algorithms or post-quantum cryptography is a significant plus.
- Leadership: Proven track record of leading technical teams and mentoring junior engineers.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.