Senior Compiler Engineer – Technical Lead at NVIDIA

Redmond, Washington, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, High Performance ComputingIndustries

Requirements

M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience)
12+ years experience in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations and Program Analysis
3+ years technical leadership experience
Excellent hands-on C++ programming skills
Experience writing significant analysis or transformation passes in LLVM framework
Understanding of Processor ISA (GPU ISA would be a plus)
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
Ways to Stand Out
Experience in developing applications in CUDA or other parallel programming language
Deep understanding of parallel programming concepts
Experience working on compile-time in JIT compilation

Responsibilities

Provide technical leadership to a small team of engineers working on compiler middle-end optimizations
Analyze the performance of application code running on NVIDIA GPUs with the aid of profiling tools
Identify opportunities for performance improvements in the MLIR/LLVM based compiler optimizer
Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools
Add support for architectural features for in-progress GPUs in the LLVM and MLIR
Interact with Open-source LLVM community to ensure tighter integration
Work with geographically distributed compiler, architecture and application teams to oversee improvements and problem resolutions
Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages

Skills

Key technologies and capabilities for this role

MLIRLLVMCUDACompiler OptimizationsGPU ProfilingCompiler PassesOpen-source LLVM

Questions & Answers

Common questions about this position

What experience level is required for this Senior Compiler Engineer role?

The role requires an M.S. or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent), 12+ years in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations, Global optimizations and Program Analysis, and 3+ years of technical leadership experience.

What are the key technical skills needed for this position?

Candidates need excellent hands-on C++ programming skills, experience writing significant analysis or transformation passes in the LLVM framework, and understanding of Processor ISA (GPU ISA preferred).

What does the team structure look like for this role?

This is a small team working on a core compiler component, where you will provide technical leadership to a team of engineers and collaborate with geographically distributed compiler, architecture, and application teams.

What is the compensation or salary for this position?

This information is not specified in the job description.

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

Experience developing applications in CUDA or other parallel programming languages, deep understanding of parallel programming concepts, and experience with compile-time in JIT compilation will help you stand out.

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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