Job Description
Join the Revolution in Next-Gen Intelligence
Nexus Future Labs is pioneering the 2026 Protocol, a groundbreaking synthetic intelligence framework designed to redefine the boundaries of autonomous decision-making and predictive analytics. We are looking for a visionary Senior AI Architect to lead our core engineering team in San Francisco.
Your Mission
In this high-impact role, you will be responsible for architecting scalable neural networks and optimizing the 2026 Protocol for enterprise-grade performance. You will bridge the gap between theoretical machine learning breakthroughs and practical, deployable systems that drive business value.
Why Nexus?
• Competitive compensation and equity package.
• Access to cutting-edge hardware and research grants.
• Work with a world-class team of engineers and data scientists.
Responsibilities
- Lead Architecture: Design and implement the core infrastructure for the 2026 Protocol, ensuring high availability, security, and scalability.
- Model Optimization: Fine-tune large language models and neural architectures to maximize inference speed and accuracy on edge devices.
- Team Leadership: Mentor junior developers and data scientists, conducting code reviews and technical architecture sessions.
- Research & Development: Stay ahead of industry trends to integrate emerging advancements into the 2026 ecosystem.
- Collaboration: Partner with product managers to define technical requirements and deliver solutions that exceed user expectations.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
- Tech Stack: Deep proficiency in Python, PyTorch, and the proprietary 2026 Protocol framework.
- Education: Master’s degree or PhD in Computer Science, Physics, or a related quantitative field.
- Cloud Mastery: Strong experience with cloud providers (AWS/Azure/GCP) and containerization technologies (Docker/Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with elegant, efficient code solutions.