Job Description
Join the Architects of Tomorrow.
Nexus Horizon Labs is seeking a visionary Senior AI Infrastructure Engineer to lead our core systems for the 2026 roadmap. We are not just building software; we are architecting the neural backbone of the next digital era. If you thrive in high-scale environments and want to define how Artificial Intelligence scales in the future, this is your stage.
Why Join Us?
• Future-Ready Tech Stack: Work with cutting-edge GPU clusters and quantum-ready cloud architectures.
• Impact: Your work will directly influence the performance of autonomous agents and generative models.
• Culture: A diverse team of futurists, engineers, and designers pushing boundaries.
Responsibilities
- Design and deploy scalable infrastructure for Large Language Models (LLMs) and generative AI workloads.
- Optimize model inference latency and resource utilization across distributed GPU clusters.
- Implement robust CI/CD pipelines for machine learning models using Kubernetes and Terraform.
- Collaborate with data scientists to translate research prototypes into production-grade systems.
- Ensure high availability and disaster recovery protocols for mission-critical AI services.
- Conduct cost optimization analysis for cloud compute resources and storage.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering with a focus on cloud infrastructure.
- Deep proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Expert knowledge of containerization (Docker) and orchestration (Kubernetes).
- Experience with major cloud providers (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of networking, distributed systems, and database technologies (PostgreSQL, Redis).