Senior Datacenter Performance Model Engineer

NVIDIA

Software Engineer developing datacenter scale performance modeling tools for AI workloads at NVIDIA. Collaborating with teams to optimize configurations and improve features on GPU clusters.

Posted 5/28/2026full-timeRemote • California, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

KubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Build performance modeling and prediction tools for AI workloads at Data-center scale
Develop production tools and workflows used by multiple teams both within NVIDIA and its customers
Automate workflows including search for the most efficient configurations over millions of parameters
Partner with HW and SW architects to propose new features or improve existing features with real world use cases

Requirements

What you’ll need

BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
Strong software skills in design, coding (C++ and Python), analytical, and debugging
Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference
Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking
Experience with NVIDIA GPUs, CUDA Programming, and Networking
Motivated self-starter with strong problem-solving skills and customer-facing communication skills
Passion for continuous learning
Ability to work concurrently with multiple global groups

Benefits

Comp & perks

equity
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Hard Skills & Tools

C++PythonDeep LearningPyTorchTensorFlowCUDA ProgrammingGPU cluster job schedulingSlurmKubernetesNetworking

Soft Skills

problem-solvingcustomer-facing communicationmotivated self-startercontinuous learningability to work concurrently with multiple global groups

Certifications

BS in Computer Science