Senior Network Engineer - Supercomputing
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As part of IFM’s Supercomputing team, you will design, optimize, and maintain low-latency, high-bandwidth networking solutions that power some of the world’s largest GPU supercomputing clusters. You’ll work on both network software and systems that enable AI training and inference workloads, using cutting-edge technologies such as NVIDIA’s RDMA-capable solutions, InfiniBand, RoCE, and GPUDirect RDMA. Our integrated product stack covers the full lifecycle of network management—from metric collection and configuration deployment to zero-touch provisioning, real-time monitoring, alerting, and auto-remediation. You will also be responsible for investigating, debugging, and quickly resolving any network-side errors in collaboration with cross-functional teams, ensuring the highest degree of reliability and performance.
The Role
As part of IFM’s Supercomputing team, you will design, optimize, and maintain low-latency, high-bandwidth networking solutions that power some of the world’s largest GPU supercomputing clusters. You’ll work on both network software and systems that enable AI training and inference workloads, using cutting-edge technologies such as NVIDIA’s RDMA-capable solutions, InfiniBand, RoCE, and GPUDirect RDMA. Our integrated product stack covers the full lifecycle of network management—from metric collection and configuration deployment to zero-touch provisioning, real-time monitoring, alerting, and auto-remediation. You will also be responsible for investigating, debugging, and quickly resolving any network-side errors in collaboration with cross-functional teams, ensuring the highest degree of reliability and performance.
Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability
