Solutions Architect, Generative AI Specialist at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Retail, Financial ServicesIndustries

Requirements

5+ years of relevant work experience in developing and deploying scalable LLM models, and enterprise applications using PyTorch or TensorFlow with Software Engineer or ML Engineer background
Proven track record of building enterprise RAG-based systems using open-source frameworks such as LlamaIndex, LangChain, Malevis, Haystack etc
Excellent practical knowledge of Generative AI and LLMs. Ability to train and fine-tune GPT based models, such as Llama-2, Megatron, GPT-3
Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience
Passion for knowledge sharing and track record of building educational content in the field of AI or Cloud
Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools
Strong communication skills and experience working in external-facing roles. Comfortable working in a highly collaborative environment

Responsibilities

Develop reference architectures showing the application of AI in industry-specific contexts
Build sample applications that bring these AI workflows to life
Lead live workshops and trainings to ensure partner and customer success
Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe
Foster learning and improvement by providing valuable feedback to sales and product specialists
Use NVIDIA's AI platform to demonstrate end-to-end deployment of AI solutions in areas such as healthcare, retail, and financial services

Skills

Key technologies and capabilities for this role

PyTorchTensorFlowLlamaIndexLangChainHaystackLlama-2MegatronGPT-3RAGLLMs

Questions & Answers

Common questions about this position

What is the salary range for this Solutions Architect role?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Where is this position located?

The role is based in Santa Clara, CA, USA.

What skills and experience are required for this Generative AI Specialist role?

Candidates need 5+ years of experience developing and deploying scalable LLM models and enterprise applications using PyTorch or TensorFlow, with a Software Engineer or ML Engineer background. A proven track record of building enterprise RAG-based systems using frameworks like LlamaIndex, LangChain, etc., excellent knowledge of Generative AI and LLMs, and an MS or advanced degree in AI or Computer Science are required.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a highly collaborative environment with a world-class team of experts accelerating enterprise AI adoption, emphasizing passion for knowledge sharing, learning, and a diverse work environment.

What makes a candidate stand out for this role?

Hands-on experience with NVIDIA AI Enterprise software, Base Command Manager, NeMo, NIMs, RAPIDS, along with excellent communication and presentation skills for collaborating with internal and external customers, will set you apart.

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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