Compiler Optimization Engineer, LLVM and MLIR - New College Grad 2025 at NVIDIA

Redmond, Washington, United States

Apply Now

Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, Visual Computing, Deep LearningIndustries

Requirements

Pursuing a B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience)
Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations
Excellent hands-on C++ programming skills
Understanding of any Processor ISA (GPU ISA would be a plus)
Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
Good communication and documentation skills and self-motivated

Responsibilities

Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer
Design and develop new compiler analysis passes and optimizations to produce best-in-class, robust, supportable compiler and tools
Add support for new hardware features in LLVM and MLIR
Work with geographically distributed compiler, hardware and application teams to oversee improvements and problem resolutions
Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages

Skills

Key technologies and capabilities for this role

LLVMMLIRC++Compiler OptimizationsLoop OptimizationsInter-procedural OptimizationsGlobal OptimizationsProcessor ISACUDAClangParallel Programming

Questions & Answers

Common questions about this position

What is the base salary range for this 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 with this role?

You will be eligible for equity and benefits.

What are the required skills for this Compiler Optimization Engineer role?

Required skills include pursuing a B.S, M.S or Ph.D. in Computer Science or related fields, background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations, excellent hands-on C++ programming skills, understanding of any Processor ISA, strong software engineering principles, and good communication and documentation skills.

What makes a candidate stand out for this position?

Candidates stand out with an M.S or Ph.D., experience in CUDA or other parallel programming, deep understanding of parallel programming concepts, LLVM, MLIR and/or Clang compiler development experience, and familiarity with deep learning frameworks and NVIDIA GPUs.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and passionate people, values creative and autonomous individuals, fosters a diverse work environment, and is committed to being an equal opportunity employer.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free