AI Compiler Engineer

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $108,000–$178,250 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k

This role $143k

$95k most similar roles pay here $233k

This role pays less than 74% of similar roles. Most pay $142,993–$214,000 — the shaded band above. At the midpoint, this role pays about $143k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 905 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 887 roles with salary data.

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At a glance

TL;DR · AI Compiler Engineer

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AI Compiler Engineer- New College Grad 2027 will join the team to develop groundbreaking technologies in machine learning compilers and AI systems. This role focuses on building innovative compiler solutions that integrate with the software stack to provide comprehensive acceleration for modern machine learning models. You will design, implement, and optimize compilers for high-impact workloads while developing new abstractions and agentic solutions to automate development flows. The work involves co-designing agent system solutions and collaborating with internal hardware and software teams to push developments to the product. Required skills include proficiency in Python, C/C++, and GPU programming. Preferred experience includes machine learning systems development, including LLM inference kernels and kernel generations. Candidates may also leverage expertise in Apache TVM, MLIR, FlashInfer, or Flash Attention to solve complex problems in machine learning acceleration and system engineering.

Skills

Machine Learning Compilers MLIR Apache TVM Python C++ GPU Programming LLM Inference FlashInfer Flash Attention Kernel Generation AI Systems Automation

What you'll do

Develop and innovate new machine learning compiler and systems technologies for NVIDIA hardware.
Design, implement, and optimize compilers specifically for high-impact AI workloads.
Build agent-driven solutions to automate the overall development flow of machine learning systems.
Co-design agent system solutions integrated with current and future AI compiler technologies.
Develop new AI compiler abstractions to accelerate machine learning system engineering.
Optimize high-impact machine learning workloads for NVIDIA's software stack.
Build technical relationships with internal hardware and software teams to push product developments.

What we're looking for

Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
Master's or PhD degree is preferred.
Experience in machine learning systems development including ML compilers, LLM inference kernels, and kernel generations.
Strong skills in Python, C/C++, and GPU programming.
Expertise in machine learning compilers such as Apache TVM or MLIR (preferred).
Background in developing AI agent driven solutions and automation (preferred).
Expertise in domain specific compiler and library solutions for LLM inference and training (preferred).
Strong experience in machine learning systems research and productization, or open source project ownership (preferred).