Compiler Engineer, LLVM - New College Grad 2025 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, Graphics, GPU ComputingIndustries

Requirements

BS/MS in Computer Science or Computer Engineering (or equivalent experience)
Experience and strong background in compilers
Strong C/C++ programming skills
Deep understanding of parallel programming models
Experience with compiler optimizations, especially working with LLVM infrastructure

Responsibilities

Work on design and implementation of significant parts of the graphics' compiler (SPIR-V and DXIL compiler)
Work on performance analysis and design/implementation of new optimizations
Partner with global compiler, GPU driver, architecture, and application teams to coordinate improvements and problem resolutions
Seek interesting and meaningful compilation problems for state-of-the-art GPU technologies
Contribute to open-source projects (GLSLANG, LLVM, DXC - HLSL compiler)

Skills

Key technologies and capabilities for this role

LLVMC++CompilersSPIR-VDXILCompiler OptimizationsGLSLHLSLCUDADirectXOpenGLVulkanGLSLANGDXC

Questions & Answers

Common questions about this position

What is the salary range for this Compiler Engineer position?

The base salary range is 104,000 USD - 172,500 USD for Level 1, and 120,000 USD - 189,750 USD for Level 2, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

The position includes a generous benefits package and eligibility for equity.

What are the required skills for this Compiler Engineer role?

Candidates need a BS/MS in Computer Science or Computer Engineering, strong background in compilers, strong C/C++ programming skills with deep understanding of parallel programming models, and experience with compiler optimizations using LLVM infrastructure.

Is this Compiler Engineer position remote or office-based?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with experience developing CUDA, DirectX, OpenGL/Vulkan applications, background in compiler optimizations and code generation for GPUs, ability to do code generation and build compiler frameworks, strong collaboration skills, and interpersonal skills to influence others.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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