Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Infrastructure Engineer to lead our next-generation compute infrastructure.
In a world rapidly moving toward autonomous agents and quantum-enhanced machine learning, your work will be the bedrock of our AI ecosystem. You won't just be maintaining servers; you will be architecting scalable, fault-tolerant, and high-performance systems designed for the future.
We offer competitive equity, a top-tier benefits package, and the opportunity to work with the brightest minds in the industry.
Responsibilities
- Architect and manage high-throughput, low-latency inference pipelines for large language models (LLMs) and multimodal agents.
- Design and optimize GPU cluster orchestration strategies using Kubernetes and custom runtime environments.
- Implement edge computing solutions to reduce latency for real-time AI applications.
- Drive infrastructure automation and CI/CD pipelines for ML model deployment.
- Collaborate with research teams to translate experimental AI models into production-grade, scalable software.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of experience building and managing large-scale distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Deep proficiency in Python, Rust, or Go for infrastructure scripting.
- Experience with containerization technologies (Docker, Kubernetes) and microservices architecture.
- Strong understanding of ML ops (MLOps) and model lifecycle management.