Senior Solutions Architect, Global Partner Team 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

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 GenAI 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, and 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
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

NVIDIA NemoNIMGenerative AIRAGLangChainLangGraphKubernetesGPUsDeep LearningData ScienceParallel ComputingML Frameworks

Questions & Answers

Common questions about this position

What is the salary range for this Senior Solutions Architect position?

The base salary range is 184,000 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.

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

This information is not specified in the job description.

What key skills are required for this role?

Candidates need 8+ years in deep learning, data science or software development with GPU parallel computing knowledge, strong experience building GenAI apps with RAG and workflows, developer experience with LangChain and LangGraph, and working knowledge of Kubernetes and datacenter infrastructure. A BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or related fields (or equivalent) is required, along with clear communication skills.

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 individuals. They value creative and autonomous people and are committed to fostering a diverse work environment as an equal opportunity employer.

How can I stand out as a candidate for this position?

Stand out with experience leading technical teams working with GSI, proficiency on NVIDIA platform using Nemo and NIM along with ML/DL frameworks and MLOps, experience in cloud solution designing, APIs, Microservices, orchestration, storage and data migration, and a willingness to tackle sophisticated problems as a phenomenal listener.

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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