AI Compiler Engineer – New College Grad

NVIDIA

. Develop groundbreaking technologies in machine learning compilers and AI systems .

Posted 9/17/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $108,000 - $195,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning compilers and AI systems, with a strong focus on innovative solutions for NVIDIA hardware architecture. Proficient in Python, C/C++, and GPU programming, with a solid background in AI agent-driven automation and machine learning systems research.

Highest-signal resume keywords

Machine Learning Compiler DevelopmentPython ProgrammingC/C++ ProgrammingAI Agent-Driven SolutionsApache TVM Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Systems DevelopmentML Compiler OptimizationGPU ProgrammingLLM Inference KernelsKernel GenerationDomain-Specific Compiler SolutionsAI Compiler AbstractionsAutomation SolutionsOpen Source Project ContributionsMachine Learning Workload Optimization

Tools & Technologies

Apache TVMMLIRFlashInferFlash Attention

Industry Keywords

AI SystemsMachine Learning AccelerationNVIDIA Hardware ArchitectureAgent-Driven Solutions

Tech Stack

Tools & technologies

ApacheFlashOpen SourcePythonC++

About the role

Key responsibilities & impact

Develop groundbreaking technologies in machine learning compilers and AI systems
Develop innovative AI compiler technologies for NVIDIA hardware architecture
Develop new AI compiler abstractions
Develop agentic solutions to accelerate machine learning system engineering
Optimize high-impact machine learning workloads
Innovate and develop new machine learning compiler and systems technologies
Design, implement, and optimize compilers for high-impact AI workloads
Build agent-driven solutions to automate the overall development flow
Co-design agent system solutions with current and future AI compiler technologies
Collaborate closely with other NVIDIA engineering teams to build high-impact solutions for machine learning acceleration

Requirements

What you’ll need

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

Benefits

Comp & perks

Equity
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