Senior Compiler Optimization Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience)
6+ years experience 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

Analyze the performance of application code running on NVIDIA GPUs with the aid of profiling tools
Devise and refine programming models for deep learning and related applications
Identify opportunities for performance improvements in the LLVM based compiler middle end optimizer
Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools
Interact with Open-source LLVM community to ensure tighter integration
Interact with Architecture teams to influence hardware evolution
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

LLVM

CUDA

Compiler Optimizations

Loop Optimizations

GPU Computing

Profiling Tools

Deep Learning

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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