Senior Datacenter Performance Model Engineer
Nvidia · Santa Clara, CA
About this role
Nvidia is hiring a senior-level Database Engineer in the data engineering function based in Santa Clara, CA. The posting calls out experience with CUDA, Kubernetes, TensorFlow, PyTorch.
- Role
- Database Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Posted
- May 28, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. We are looking for forward-thinking, hard-working, and creative people to join a fast-moving multifaceted software team! This software engineering role involves developing datacenter scale performance modeling and predictions tools for AI researchers running AI workloads in GPU clusters.
What you'll be doing:
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
What we need to see:
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
This is an excerpt. Read the full job description on Nvidia careers →