Full-Time

Compiler Optimization Engineer – New College Grad 2024

Mlir and LLVM

Posted on 10/2/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$104k - $189.8kAnnually

+ Equity

Entry

Redmond, WA, USA + 1 more

More locations: Santa Clara, CA, USA

Category
Backend Engineering
Embedded Engineering
Software Engineering
Required Skills
C/C++
Requirements
  • Pursuing a 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.
  • 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.
  • Contribute to open-source projects (LLVM/MLIR).

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

Help us improve and share your feedback! Did you find this helpful?

INACTIVE