Senior Compiler Engineer - Compute at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, GamingIndustries

Requirements

BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
3+ years of experience in developing production compilers or related software
Knowledge of compiler front-end technology
Advanced C++ development skills, including experience working with large, modularized codebases
Strong interpersonal, verbal and written communications skills
Capability to achieve objectives under tight deadlines
Experience executing tasks while managing competing priorities
Experience writing and debugging multithreaded programs
Deep understanding of technology and passion for what you do
Strong teamwork, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Responsibilities

Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software
Contribute to the CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities
Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users, from deep learning researchers to safety-critical software developers
Provide engineering support for the compiler and deliver targeted changes for production customer releases
Establish strong customer/partner relationships and trust through excellent execution and high-quality software development

Skills

Key technologies and capabilities for this role

CUDAC++CompilersGPU ComputingOptimizing CompilersCompiler Front-endCompiler DriverParallel ProgrammingLanguage Specification

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Compiler Engineer role?

A BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience) is required, along with 3+ years of experience in developing production compilers or related software.

What key technical skills are needed for this position?

Candidates need knowledge of compiler front-end technology, advanced C++ development skills with experience in large modularized codebases, and experience writing and debugging multithreaded programs.

What soft skills are important for this role at NVIDIA?

Strong interpersonal, verbal and written communications skills, capability to achieve objectives under tight deadlines, experience managing competing priorities, and proven ability to guide and influence in a dynamic matrix environment are essential.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Compiler Engineer role?

A strong track-record in compiler engineering with EDG, LLVM-clang or other front-ends will help candidates stand out from the crowd.

What is the team environment like for this role?

You'll be solving challenging problems alongside some of the top valued diverse minds in GPU computing and systems software in a dynamic and innovative CUDA Compiler team, with strong teamwork in a dynamic matrix environment.

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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