Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to spearhead the development of next-generation machine learning platforms designed to scale for the 2026 era. Join Nexus Future Labs, a leader in predictive analytics and neural network architecture, as we build the foundational systems that will define the future of intelligent computing.
Our mission is to democratize AI by making high-performance computing accessible, secure, and scalable. You will work at the intersection of hardware acceleration and software optimization, ensuring our models can process petabytes of data in real-time.
Responsibilities
- Design and implement high-throughput, low-latency inference pipelines for large language models.
- Architect scalable GPU clusters and manage resource allocation to maximize training efficiency.
- Optimize database and storage systems to support massive-scale data ingestion and retrieval.
- Drive the implementation of MLOps best practices, including CI/CD for machine learning models.
- Collaborate with cross-functional teams of researchers and data scientists to translate theoretical models into production-ready systems.
- Ensure system reliability, security, and compliance with industry standards.
Qualifications
- 8+ years of experience in systems engineering, software development, or DevOps.
- Deep expertise in Python, C++, and containerization technologies (Docker, Kubernetes).
- Strong background in distributed systems and cloud architecture (AWS, GCP, or Azure).
- Experience with high-performance computing (HPC) and hardware acceleration (NVIDIA, CUDA).
- Proven track record of optimizing deep learning workloads for speed and memory efficiency.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.