Job Description
Are you ready to architect the digital solutions for the future? Nexus Future Labs is seeking a visionary Senior AI Infrastructure Engineer to join our elite team in Austin, Texas.
The Opportunity
We are building the infrastructure that powers the next generation of generative AI and autonomous systems. You will have the chance to work on massive-scale model training, deployment, and optimization. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Your Role
In this pivotal role, you will bridge the gap between cutting-edge research and production-grade engineering. You will ensure our systems are resilient, scalable, and cost-effective.
Responsibilities
- Architect Scalable AI Pipelines: Design and implement robust MLOps pipelines for data ingestion, model training, and deployment.
- Optimize Inference Performance: Improve the latency and throughput of AI models serving millions of requests daily.
- Cloud Infrastructure Management: Leverage AWS and Kubernetes to manage complex distributed environments.
- Cost Optimization: Analyze resource utilization and implement strategies to reduce cloud spending while maintaining performance.
- Cross-Functional Collaboration: Partner with data scientists and software engineers to translate research into production-ready code.
Qualifications
- Experience: 5+ years of experience in software engineering, with at least 3 years focused on Machine Learning Infrastructure.
- Programming: Proficiency in Python, PyTorch, or TensorFlow.
- Cloud Expertise: Strong hands-on experience with AWS (EC2, SageMaker, RDS) or GCP.
- DevOps: Deep understanding of containerization (Docker, Kubernetes) and CI/CD practices.
- Problem Solving: Ability to troubleshoot complex distributed system issues under pressure.