Job Description
We are at the precipice of the 2026 era, and Nexus 2026 Labs is leading the charge. We are not just predicting the future; we are architecting it. Our mission is to build the high-performance computing infrastructure necessary to support the next generation of autonomous systems and deep learning models.
We are seeking a visionary Senior AI Infrastructure Engineer to join our elite engineering team. You will be responsible for designing, deploying, and optimizing the complex software stacks that power our AI research. If you are passionate about bridging the gap between theoretical AI and robust, scalable production systems, we want to hear from you.
Responsibilities
- Architect and deploy scalable AI workloads on cloud-native environments (AWS, GCP, or Azure).
- Optimize deep learning pipelines to ensure maximum throughput and minimal latency.
- Implement robust CI/CD pipelines for continuous integration and deployment of models.
- Collaborate closely with data scientists to translate research breakthroughs into scalable infrastructure.
- Ensure high availability, security, and compliance standards across all AI systems.
- Conduct performance tuning and resource management for large-scale distributed training.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of professional experience with Python, TensorFlow, or PyTorch.
- Strong proficiency in Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
- Experience with MLOps tools, version control systems (Git), and agile methodologies.
- Proven track record of designing fault-tolerant systems for high-traffic applications.
- Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.