# Senior Deep Learning Software Engineer, DLSim

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Software-Engineer--DLSim_JR2024154?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bbbb68eb-cf7

## Description

The DL Performance Modeling Team's core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs.

We are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure.

**Responsibilities:**

- Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.

- Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.

- Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.

- Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.

**Requirements:**

- A Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.

- 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.

- Strong hands-on experience with MLIR and compiler infrastructure.

- Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.

- Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.

**Preferred Qualifications:**

- Experience designing and building compiler frameworks or intermediate representations from the ground up.

- Deep understanding of LLM inference workloads and their implications for computer architecture.

- Hands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.

You will also be eligible for equity and benefits.

## Skills

### Required
- C/C++
- Python
- MLIR
- compiler infrastructure
- deep learning

### Nice to have
- compiler frameworks
- LLM inference workloads
- AI workloads optimization

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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-Software-Engineer--DLSim_JR2024154?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)