Senior Compiler Engineer - DL at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, SemiconductorsIndustries

Requirements

Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
3+ years of relevant work or research experience in performance analysis and compiler optimizations
Ability to work independently, define project goals and scope, and lead your own development efforts
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design
Strong interpersonal skills and ability to work in a dynamic product-oriented team

Responsibilities

Analyzing deep learning networks and developing compiler optimization algorithms
Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software
Defining public APIs, performance optimizations and analysis
Crafting and implementing compiler infrastructure techniques for neural networks
Other general software engineering work

Skills

Deep Learning

Compilers

GPU

Neural Networks

Compiler Optimization

Performance Optimization

APIs

JIT Compilation

AOT Compilation

Inference Engine

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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