# Senior Deep Learning Systems Engineer, Datacenters

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $120,000–$180,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer--Datacenters_JR2017655?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cc5cf176-505

## Description

Do you want to influence the development of high-performance Datacenters designed for the future of AI? As a Senior Deep Learning Systems Engineer, you will play a central role in analyzing the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influencing the design and optimization of datacenters.

In this role, you will help develop software infrastructure to characterize and analyze a broad range of Deep Learning applications, evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs), and work with experts to develop analysis and profiling tools in Python, bash, and C++ to measure key performance metrics of DL workloads running on Nvidia systems.

We are looking for a highly skilled engineer with a deep understanding of computer system architecture and performance analysis, as well as experience in system software, operating systems, compilers, GPU kernels, and DL frameworks. You should have demonstrated hands-on experience in these domains and be able to work in virtual environments.

If you're creative and autonomous, and have a strong drive to own tasks from beginning to end, we want to hear from you!

## Skills

### Required
- System Software
- Operating Systems
- Compilers
- GPU Kernels
- DL Frameworks
- Python
- Bash
- C++
- Silicon Architecture
- Performance Modeling
- Analysis

### Nice to have
- Containerization Platforms
- Datacenter Workload Managers
- Multi-site teams
- Multi-functional teams

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer--Datacenters_JR2017655?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)