Senior Machine Learning Compiler Engineer at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
8+ years of software engineering and ML experience (tools development preferred)
Strong knowledge of compilers, code generation, and GPU architecture
Proficiency in Python, C/C++, Julia, Lisp/Scheme
Solid mathematical and scientific foundation relevant to ML and compiler technologies
Ways to Stand Out
10+ years of hands-on experience working with Python, C/C++, Julia, Lisp/Scheme
Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration

Responsibilities

Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence
Join committed team members in leading tech sectors
Innovate in machine learning, system design, and more
Influence global products

Skills

Key technologies and capabilities for this role

PythonC++JuliaLispSchemeCompilersCode GenerationGPU ArchitectureReinforcement LearningGenetic AlgorithmsPredictive ModelingDomain-Specific Languages

Questions & Answers

Common questions about this position

What is the salary and benefits like for this position?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS/MS/PhD in Computer Science or related field, 8+ years of software engineering and ML experience, strong knowledge of compilers, code generation, and GPU architecture, and proficiency in Python, C/C++, Julia, Lisp/Scheme.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work, with brilliant and hardworking people, and a diverse team of talented, capable, and professional individuals as the greatest asset.

What makes a candidate stand out for this position?

Stand out with 10+ years of hands-on experience with Python, C/C++, Julia, Lisp/Scheme, familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, expertise in AI/ML production deployment, and hands-on compiler building with LLVM.

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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