Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Inc. is seeking a visionary Future Tech Architect to lead our R&D division in San Francisco. You will be at the forefront of designing scalable infrastructure that integrates quantum computing, generative AI, and decentralized networks. If you are passionate about building the tools that will define the next era of human progress, we want to hear from you.
Why Join Us?
- Work on projects that have a tangible impact on the future of global connectivity.
- Competitive compensation package and equity options.
- Flexible remote-first hybrid model.
- Access to cutting-edge research facilities and resources.
We are looking for a strategic thinker who can bridge the gap between theoretical possibilities and practical implementation.
Responsibilities
- Architect the 2026 Roadmap: Design and oversee the technical infrastructure required to support our long-term vision for the year 2026 and beyond.
- AI Integration: Spearhead the integration of advanced Generative AI models into core business operations and client-facing products.
- Edge & Quantum Strategy: Lead the research and development of Edge Computing solutions and assess the feasibility of Quantum Readiness for our platforms.
- System Scalability: Build robust, fault-tolerant systems capable of handling exponential data growth.
- Innovation Leadership: Foster a culture of experimentation and guide junior engineers in adopting emerging technologies.
- Data Sovereignty: Implement stringent security protocols to ensure data integrity and compliance in a global environment.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Physics, or a related field; PhD preferred.
- Experience: 10+ years of experience in software architecture, with at least 5 years in a leadership or senior technical role.
- Technical Skills: Deep expertise in Cloud Native technologies (AWS, Azure, GCP), Kubernetes, and microservices architecture.
- AI/ML Proficiency: Strong background in Machine Learning operations (MLOps) and Natural Language Processing (NLP).
- Future Tech Knowledge: Demonstrated understanding of emerging trends such as Blockchain, IoT, and 6G connectivity.
- Soft Skills: Exceptional strategic thinking, problem-solving abilities, and cross-functional communication skills.