Senior Compiler Engineer - HPC at NVIDIA

Hillsboro, Oregon, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HPC, TechnologyIndustries

Requirements

Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience
6+ years experience developing production-quality compilers, tools, or similar software
Proven understanding of compiler internals including experience targeting auto-parallelization and GPU targets
Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations

Responsibilities

Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures
Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs
Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs
Balance individual effort with teamwork throughout debugging, prototyping, and productization
Discuss and refine software designs and implementation strategies with peers
Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community

Skills

Key technologies and capabilities for this role

C++CompilersLLVMMLIROpenACCOpenMPFortranFlangCUDAGPUHPCParallel Computing

Questions & Answers

Common questions about this position

What is the salary range for this Senior Compiler Engineer position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

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

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Bachelor's, Master's, or Ph.D. in Computer Science, ECE or equivalent, 6+ years experience developing production-quality compilers or similar software, proven understanding of compiler internals including auto-parallelization and GPU targets, and knowledge of C/C++ with deep understanding of parallel architectures and optimizations.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters an environment with forward-thinking and experienced people, emphasizing creativity, autonomy, and high motivation to do life's best work, while supporting real science in HPC applications.

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

Stand out with direct experience in Fortran or GPU programming models, Modern C++, GPU-based parallel computing, familiarity with C++, Fortran, OpenACC, OpenMP, or CUDA compilation, and a real passion for compiler development.

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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