Job Description
Join Nexus Horizon, a pioneer in next-generation computing, as we architect the digital backbone for the year 2026. We are looking for a visionary AI Infrastructure Engineer to lead the deployment of autonomous systems and neural networks that will define the future of enterprise.
In this role, you won't just maintain servers; you will optimize the very fabric of our artificial intelligence ecosystem. You will bridge the gap between theoretical machine learning models and scalable, high-performance hardware solutions.
Why Nexus Horizon?
- Work on projects that solve humanity's most complex challenges.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in Austin.
Responsibilities
- Design, deploy, and manage scalable AI infrastructure using Kubernetes and Docker.
- Optimize neural network training pipelines to reduce latency and increase throughput.
- Collaborate with data scientists to translate complex models into production-ready APIs.
- Implement robust security protocols for edge computing devices and IoT integration.
- Monitor system health using advanced observability tools and automate incident response.
- Research emerging technologies in quantum computing and their application to AI workloads.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.
- 5+ years of experience in software engineering with a focus on machine learning operations (MLOps).
- Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP).
- Strong understanding of distributed systems, microservices architecture, and database management.
- Experience with container orchestration and CI/CD pipelines.