Job Description
We are building the infrastructure for the year 2026. Nexus Future Labs is seeking a visionary AI Infrastructure Architect to lead the deployment of next-generation neural networks and quantum-ready computing systems. If you want to shape the future of technology and define how AI scales in a decentralized world, this is your opportunity.
Why Join Us?
- Work on cutting-edge projects that define the roadmap for 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in downtown SF.
The Role
As an AI Infrastructure Architect, you will bridge the gap between theoretical AI research and scalable production environments. You will optimize our data pipelines, ensuring high availability and low-latency inference for our core products.
Responsibilities
- Design and implement resilient, high-scale machine learning infrastructure capable of handling exabytes of data by 2026.
- Lead architectural decisions for cloud-native deployments using Kubernetes and serverless computing.
- Collaborate with R&D teams to integrate generative AI models into real-time applications.
- Implement advanced security protocols for sensitive AI data processing.
- Optimize resource allocation to reduce operational costs while maximizing inference speed.
- Mentor junior engineers and establish coding standards for AI systems.
- Conduct regular audits of system architecture to ensure future-proof scalability.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure).
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Proven track record of leading large-scale distributed systems.
- Excellent communication skills and the ability to translate complex technical concepts for stakeholders.
- Experience with quantum computing interfaces or edge AI deployment is a plus.