Job Description
Are you ready to define the future of technology?
We are seeking a visionary Senior AI Infrastructure Engineer to join Nexus Future Systems. As we prepare for the technological landscape of 2026, we need a thought leader to architect scalable, high-performance systems that push the boundaries of generative AI and machine learning. You won't just be maintaining systems; you'll be building the foundation for the next generation of intelligent applications.
In this role, you will bridge the gap between cutting-edge AI research and robust, production-grade engineering. You will work in a fast-paced, innovative environment where your code directly impacts millions of users globally.
Why Join Us?
- Work on 2026-ready infrastructure designed for scale and speed.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in vibrant Austin, TX.
- Access to the latest hardware for AI research and development.
Responsibilities
- Architect and deploy scalable AI/ML infrastructure on cloud platforms (AWS/GCP/Azure).
- Optimize deep learning model inference and training pipelines for high throughput and low latency.
- Design fault-tolerant systems capable of handling real-time data streams and massive computational loads.
- Collaborate with data scientists to translate research models into production-grade software.
- Implement MLOps best practices, including CI/CD, automated testing, and model versioning.
- Lead technical initiatives to modernize legacy infrastructure and integrate emerging AI technologies.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- 5+ years of experience in software engineering with a focus on machine learning systems.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Extensive experience with containerization (Docker, Kubernetes) and orchestration.
- Deep understanding of distributed systems, cloud architecture, and high-availability design.
- Proven track record of optimizing model performance and reducing operational costs.
- Excellent communication skills and ability to mentor junior engineers.