Senior Backend Compiler Engineer - GPU at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, GraphicsIndustries

Requirements

B.S. or higher degree in Computer Science/Engineering or equivalent experience
5+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation
Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
Proficient in compiler design and in performance analysis tools
Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks
Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
Good communication and documentation skills and self-motivated

Responsibilities

Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
Get a chance to influence and work on new GPU architectures

Skills

Key technologies and capabilities for this role

LLVMcode generationinstruction schedulingsoftware pipeliningregister allocationGlobalISelTableGenLLVM IRMachine IRCUDAPTXOpenGLVulkanOpenCL

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this role?

NVIDIA offers competitive salaries and a generous benefits package.

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 the Senior Backend Compiler Engineer role?

Candidates need a B.S. or higher in Computer Science/Engineering, 5+ years of compiler development experience including 3+ years in LLVM with focus on code generation, expertise in LLVM code generation (instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, MIR), proficient C++ skills, strong software engineering principles, and good communication skills.

What is the company culture like at NVIDIA's GPU Software organization?

The team consists of worldwide leading compiler engineering experts, features forward-thinking and hardworking people, and is rapidly growing due to unprecedented growth in exclusive engineering teams.

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

Stand out with a Masters or PhD and 5+ years of relevant experience, GPU compiler optimizations and code generation experience, CUDA or graphics API application development, and strong interpersonal skills for leading and influencing others.

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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