Solution Architect - OEM AI Software

Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates must have 3-5+ years of hands-on experience as a solutions architect with a focus on AI solutions, or equivalent experience. A BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field is required. Proven success in deploying and optimizing Generative AI models for production inference, expertise in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers, and proficiency in model deployment and optimization for GPUs are essential. A solid understanding of GPU cluster architecture and excellent communication and collaboration skills are also necessary.

Responsibilities

The Solutions Architect will work with OEM partners to architect enterprise-grade end-to-end generative AI SW solutions and collaborate with their SW development teams to craft joint AI solutions. Responsibilities include supporting pre-sales activities with sales and business development teams, providing feedback to NVIDIA engineering teams on generative AI software, and engaging directly with customers/partners to understand requirements. The role also involves leading workshops and design sessions to define generative AI solutions, implementing strategies for efficient LLM training, and designing and implementing RAG-based workflows.

Skills

Generative AI

LLMs

Deep Learning

GPU technologies

RAG

Solution Architecture

Software Development

Technical Presentations

AI Solutions

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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