Manager, GPU Compiler Engineering at NVIDIA

Hillsboro, Oregon, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

High Performance Computing, TechnologyIndustries

Requirements

Degree in Computer Science, ECE or equivalent experience (Ph.D. or Masters preferred)
A software engineer with 10+ overall years of experience with at least 4 years of hands-on management
Strong software design fundamentals and a deep understanding of compilers and programming languages
Knowledge of software engineering principles
Ways to stand out (Preferred)
Contributing to LLVM or other open source projects
Familiarity with GPU code generation, OpenMP, and OpenACC standards
Knowledge of compiler internals from front end to run-time environment

Responsibilities

Managing a team of experienced compiler engineers
Establish team objectives to meet schedules and goals
Act as a mentor and advisor to grow our next generation of leaders
Establish and evolve policies and procedures that affect the immediate organization
Communicate with senior management for team vision and development

Skills

Key technologies and capabilities for this role

C++FortranOpenACCOpenMPFlangClangMLIRLLVMGPUCompilersHPC

Questions & Answers

Common questions about this position

What is the base salary for this position?

The base salary will be determined based on your location.

What benefits does NVIDIA offer?

NVIDIA offers a generous benefits package along with competitive salaries.

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

This information is not specified in the job description.

What skills and experience are required for the Compiler Engineering Manager role?

Candidates need a degree in Computer Science, ECE or equivalent (Ph.D. or Masters preferred), 10+ years of software engineering experience with at least 4 years in hands-on management, strong software design fundamentals, and deep understanding of compilers and programming languages.

What makes a candidate stand out for this position?

Stand out by contributing to LLVM or other open source projects, familiarity with GPU code generation, OpenMP, and OpenACC standards, and knowledge of compiler internals from front end to run-time 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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