Job Description
Welcome to the future of technology. Nexus Future Systems is pioneering the next generation of artificial intelligence with Project 2026. We are seeking a visionary Senior AI Architect to design the neural foundations of tomorrow.
In this role, you won't just build models; you will architect the very fabric of our cognitive infrastructure. If you are a technical leader passionate about pushing the boundaries of Generative AI, Deep Learning, and Quantum-ready algorithms, we want to meet you.
Why Join Nexus Future Systems?
- Impact: Shape the AI landscape that will define the decade ahead.
- Compensation: Competitive salary ($180k - $250k) plus equity package.
- Culture: Work with elite engineers and researchers in a dynamic, remote-first environment.
Apply today to become a cornerstone of Project 2026.
Responsibilities
- Architect Neural Networks: Design and implement scalable, high-performance deep learning architectures for autonomous systems and generative content.
- System Optimization: Lead initiatives to optimize model inference latency and reduce computational costs across cloud and edge environments.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews, architecture reviews, and technical strategy sessions.
- Research & Innovation: Stay at the forefront of AI research, evaluating and integrating novel algorithms into the Project 2026 pipeline.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex AI capabilities into user-centric features.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 8+ years of professional experience in software engineering, with at least 5 years focused on AI/ML system architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
- Cloud Expertise: Demonstrated experience deploying large-scale models on AWS, GCP, or Azure.
- Leadership: Proven track record of leading engineering teams and delivering complex projects on time.