Senior Solutions Architect, Global Partner Team at NVIDIA

São Paulo, State of São Paulo, Brazil

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs
Strong development experience with RAG and workflows building Agentic AI applications
Developer experience with LangChain and LangGraph orchestrating LLMs
Working experience of Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking
Clear written and oral communication skills with the ability to collaborate with management and engineering; share knowledge with clients, partners and co-workers

Responsibilities

Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services
Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously
Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the group
Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases
Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI

Skills

Key technologies and capabilities for this role

Generative AILarge Language ModelsLLMsNVIDIA NemoNIMRAGAgentic AILangChainLangGraphKubernetesGPUParallel ComputingDeep LearningData ScienceSoftware Development

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Solutions Architect role?

A BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience) is required, along with 8+ years of work-related experience in deep learning, data science, or software development with knowledge of parallel computing with GPUs.

What key technical skills are needed for this position?

Strong development experience with RAG and workflows for building Agentic AI applications, developer experience with LangChain and LangGraph for orchestrating LLMs, and working experience with orchestration platforms like Kubernetes and datacenter infrastructure including compute, storage, and networking are required.

Is this a remote position, or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Solutions Architect position?

Candidates stand out with experience leading technical teams working with partners and customers, proficiency as a developer on the NVIDIA platform using Nemo and NIM along with ML/DL frameworks and MLOps tools, experience with cloud-based solution designing, APIs, microservices, and a willingness to tackle sophisticated problems.

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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