Senior AI Software Engineer, GenAI Framework at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

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. TRT, ONNX, Triton)
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 deep learning fundamentals and their practical application

Responsibilities

Design and develop the GenAI open source NeMo Framework and Megatron Core
Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial data curation and pre-processing, orchestration and running of model training and tuning, to model deployment
Work at the intersection of deep learning applications, libraries, frameworks, and the entire software stack
Performance tuning and optimizations of deep learning framework & software components
Research, prototype and develop robust and scalable AI tools and pipelines

Skills

Key technologies and capabilities for this role

PythonPyTorchJAXTRTONNXTritonMegatron CoreNeMo FrameworkDeep LearningPerformance TuningLLMModel TrainingInferenceSoftware DesignDebugging

Questions & Answers

Common questions about this position

What is the salary for this Senior AI Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need an MS, PhD or equivalent in Computer Science, AI, Applied Math or related field with 5+ years of industry experience, proficiency in Python, experience with AI frameworks like PyTorch or JAX, and inference environments like TRT, ONNX or Triton, plus strong understanding of deep learning fundamentals.

What is the company culture like at NVIDIA?

NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people, valuing creative and autonomous individuals.

What makes a candidate stand out for this position?

Stand out with expertise in large-scale AI training, experience with Generative AI for LLMs and multimodal learning, knowledge of GPU/CPU architecture, cloud computing pipelines, and contributions to open source deep learning frameworks.

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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