Senior Datacenter Performance Engineer

Job Summary

Building performance modeling and prediction tools for AI workloads at a datacenter scale, the full-time Senior Datacenter Performance Engineer will develop production tools and automate workflows while collaborating with hardware and software architects in a remote environment.

Key responsibilities

• Develop performance modeling and prediction tools for AI workloads in GPU clusters
• Automate workflows to optimize configurations across millions of parameters
• Collaborate with hardware and software architects to enhance features based on real-world use cases

Required qualifications

• BS+ in Computer Science or related field and 5+ years of software development experience
• Strong coding skills in C++ and Python, with proficiency in analytical and debugging techniques
• Good understanding of Deep Learning frameworks such as PyTorch and TensorFlow
• Experience with GPU cluster job scheduling tools like Slurm or Kubernetes
• Knowledge of NVIDIA GPUs, CUDA programming, and networking