Senior Compiler Engineer - CUDA at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
4+ years of experience in developing production compilers or related software
Deep knowledge of compiler front-end technologies and/or linker and loader internals
Strong C++ programming skills
Strong interpersonal, verbal, and written communication skills
Ability to manage competing priorities and achieve objectives under tight deadlines
Experience working with industry standard C++ compilers and development frameworks

Responsibilities

Build and optimize systems at the intersection of compiler technology, linking, loading, and developer tools to deliver efficient and scalable software builds
Ensure robust support for ELF and DWARF standards, maintaining high-quality symbol and debug information handling
Collaborate with cross-functional teams to improve the integration of the compiler toolchain
Optimize the compiler and linker to reduce compilation time and memory consumption
Apply strong C++ development skills to deliver high-performance, reliable compiler and toolchain features
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

C++CUDACompilersCompiler Front-endLinkerLoaderELFDWARF

Questions & Answers

Common questions about this position

What is the salary for this Senior Compiler Engineer role?

This information is not specified in the job description.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this Senior Compiler Engineer position?

Candidates need 4+ years of experience in developing production compilers or related software, deep knowledge of compiler front-end technologies and/or linker and loader internals, strong C++ programming skills, and experience with industry standard C++ compilers and development frameworks.

What is the team culture like for the CUDA Compiler team at NVIDIA?

This information is not specified in the job description.

What makes a strong candidate for this Senior Compiler Engineer role?

A strong candidate will have a BS/MS/PhD in Computer Science or related field, 4+ years developing production compilers, deep compiler expertise, strong C++ skills, excellent communication, and the ability to manage priorities under tight deadlines.

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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