Senior GenAI Framework Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related field and 5+ 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 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

NeMo FrameworkLLMMultimodal ModelsDistributed TrainingModel ParallelismPerformance TuningMixed PrecisionNVIDIA GPUAI AlgorithmsMachine LearningData PreprocessingModel DeploymentModel Optimization

Questions & Answers

Common questions about this position

What education and experience are required for the Senior GenAI Framework Engineer role?

A MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related field with 5+ years of industry experience is required.

What key technical skills are needed for this position?

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

Is the salary or compensation mentioned for this role?

This information is not specified in the job description.

What is the work arrangement or location policy for this job?

This information is not specified in the job description.

What makes a candidate stand out for this Senior GenAI Framework Engineer position?

Hands-on experience in large-scale AI training with deep understanding of compute system concepts, expertise in distributed computing, model parallelism, mixed precision training, and prior experience with Generative AI techniques for LLM and Multi-Modal learning.

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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