# Compiler Engineer, AI Inference- New College Grad 2026

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Compiler-Engineer--AI-Inference--New-College-Grad-2026_JR2021230?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_958c3aed-569

## Description

NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing.

**What you'll be doing:**

- Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.

- Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products.

- Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon.

- Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments.

**What we need to see:**

- BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.

- Experience specializing in compiler optimizations, synthesis, and placement.

- MLIR Knowledge: Demonstrated, hands-on experience working with MLIR.

- Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.

- Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

**Ways to stand out from the crowd:**

- Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.

- LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.

- Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers.

## Skills

### Required
- C/C++
- Python
- MLIR
- compiler optimizations
- synthesis
- placement

### Nice to have
- Hardware Implementation
- LLM Knowledge
- Architecture & Design

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Compiler-Engineer--AI-Inference--New-College-Grad-2026_JR2021230?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)