[Remote] Solution Architect - Generative AI Data and Post-Training at NVIDIA

France

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
Deep expertise in AI/Deep Learning, with hands-on experience in training and finetuning LLMs
Expertise with deep learning frameworks for training LLMs (PyTorch, Megatron-LM, Nemo, Transformers, TRL, VeRL)
Excellent verbal, written communication, and technical presentation skills in English
6+ years' work or research experience with Python/C++/other software development
AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapidly evolving environment while continuously learning and sharing insights
Deep expertise in Generative AI post-training from data processing to model alignment, with a strong background in Large Language Models (LLMs)
Skilled in data preparation and curation for large-scale model training, as well as in LLM alignment techniques such as reinforcement learning from human feedback (RLHF) and Supervised Finetuning (SFT)
Solid foundation in LLMs and expertise across data processing techniques including large scale data curation, cleaning, and Synthetic Data Generation
Confirmed experience in Large-Scale post-training using supervised fine-tuning and/or Reinforcement Learning techniques

Responsibilities

Serve as the primary technical expert to NVIDIA's customers, understanding their technology and providing guidance on post-training process in terms of tools and methodology
Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms applied to LLMs post-training
Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology
Partner with Engineering, Product, and Sales teams to develop and plan best suitable solutions for customers
Enable development and growth of product features through customer feedback and proof-of-concept evaluations
Develop proof-of-concept solutions, demonstrate advanced neural network architectures, and help customers adapt and optimize foundation models using NVIDIA technologies for their specific domains
Work as the primary technical specialist for NVIDIA customers, helping drive innovation powered by NVIDIA’s hardware and software platform

Skills

Generative AI

LLMs

Data Processing

Data Curation

Synthetic Data Generation

Supervised Finetuning

SFT

RLHF

Reinforcement Learning

Model Alignment

NVIDIA AI Platforms

Proof-of-Concepts

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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