Principal Artificial Intelligence Algorithms Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields and 10+ years of industry experience
Experience with AI Frameworks (e.g. PyTorch, JAX), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang)
Proficient in Python programming, software design, debugging, performance analysis, test design and documentation
Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations
Strong understanding of AI/Deep-Learning fundamentals and their practical applications

Responsibilities

Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing
Contribute and advance open source Megatron Core and NeMo Framework
Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment
Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack
Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms
Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures
Research, prototype, and develop robust and scalable AI tools and pipelines

Skills

Key technologies and capabilities for this role

Distributed TrainingModel ParallelismPerformance TuningMixed PrecisionNVIDIA GPULLMsMultimodal ModelsNeMo FrameworkMegatron CoreAI AlgorithmsMachine LearningData AnalyticsModel OptimizationOpen SourceCUDA

Questions & Answers

Common questions about this position

What education and experience are required for this Principal AI Algorithms Engineer role?

Candidates need an MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields, along with 10+ years of industry experience.

What key technical skills are needed for this position?

Proficiency in Python programming, software design, debugging, performance analysis, test design, documentation, and experience with AI Frameworks like PyTorch or JAX, plus strong understanding of AI/Deep-Learning fundamentals.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience will make me stand out as a candidate?

Hands-on experience in large-scale AI training with deep understanding of compute system concepts like latency/throughput bottlenecks, expertise in distributed computing, model parallelism, and mixed precision training.

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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