Solutions Architect – OEM at NVIDIA

Durham, North Carolina, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

Bachelor's or Master's degree (or equivalent experience) in Computer Science
5+ years of experience
Proven senior-level technical leadership with the ability to challenge assumptions and influence strategic decisions
Hands-on experience with AI, ML, and accelerated computing platforms
Strong pre-sales experience, including technical customer engagement, solution design, and executive-level presentations
Excellent communication skills with the ability to articulate complex technical value propositions
Track record of global collaboration and proactive leadership
Specialized expertise in RA’s and LVD’s development and validation
A self-starter with the ability to operate independently and at scale

Responsibilities

Taking full ownership of the solution lifecycle—from strategy through execution—emphasizing NVIDIA’s strengths and market impact
Providing senior-level technical leadership to challenge assumptions, drive adoption of NVIDIA’s accelerated computing and AI solutions, and advance guidelines
Driving pre-sales engagements—developing architectures, leading demos, providing deep technical expertise, and supporting the sales process
Clearly and compellingly communicating NVIDIA’s value proposition, ensuring our technology is central to every discussion
Collaborating with both technical and business teams while always prioritizing the NVIDIA narrative and technical excellence
Developing and validating Reference Architectures (RA’s) and Lenovo Validation Designs (LVD’s) to accelerate deployment and customer success
Anticipating roadblocks, championing breakthrough ideas, and driving the creation of validated architectures that differentiate NVIDIA in the market
Identifying training needs and delivering technical training content (e.g., AI Advisor) to empower customers, partners, and internal teams

Skills

Key technologies and capabilities for this role

AIMLAccelerated ComputingSolution ArchitecturePre-salesReference ArchitecturesHardwareSoftware EngineeringOEMTechnical Leadership

Questions & Answers

Common questions about this position

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

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD (appears truncated) based on location, experience, and pay for similar positions.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include a Bachelor's or Master's in Computer Science, 5+ years of experience, hands-on experience with AI, ML, and accelerated computing platforms, strong pre-sales experience, excellent communication skills, and specialized expertise in Reference Architectures (RA’s) and Lenovo Validation Designs (LVD’s).

What is the team structure like for this position?

You will collaborate with multi-functional teams, including hardware, software engineering, OEM project management, and sales.

What makes a candidate stand out for this Solutions Architect role?

Candidates stand out with deep expertise in enterprise solution architecture and ecosystem integration, experience influencing large-scale customer deployments, demonstrated leadership in technical training, published work on AI/ML architectures, and a reputation for pioneering breakthrough 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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