Manager, OEM Solution Architecture at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Bachelor's or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, or MBA with focus on IT management
8+ years of experience with OEM, ODM, datacenter operations, deployments and management with 2+ years of leadership experience
Proven coordination skills: Demonstrated ability to manage and prioritize workflows across technical engagements, NPI efforts, and E2E solution development
OEM experience: Familiarity with OEM integration cycles including product qualification and launch processes
Technical breadth: High-level understanding of NVIDIA’s solution suite, including GPU, networking (NICs, DPUs, switches), and software stacks relevant to data center and OEM deployments
Cross-functional leadership: Experience guiding cross-functional teams (engineering, sales, product) through complex deployments and customer engagements
Ability to represent NVIDIA in Tier-1 OEM account reviews, handle customer issues and concerns, and build trusted technical relationships with collaborators
Project management expertise: Skilled in setting goals, tracking progress, reporting, and ensuring timely execution across multiple concurrent initiatives
Strategic influence: Capable of shaping OEM engagement strategy, contributing to roadmap planning, and syncing with sales to drive deeper adoption of NVIDIA solutions
Recruiting competence: Knowledgeable about NVIDIA’s hiring process and capable of leading interview panels, evaluating technical talent, and crafting executive-level hiring justifications

Responsibilities

Coordinate technical engagements: Oversee and prioritize the workflow of OEM teams supporting NVIDIA product integration, ensuring alignment with sales strategy and design win objectives
Lead NPI activities: Plan and coordinate efforts, guide teams to integrate NVIDIA technologies into platforms with OEMs
Orchestrate end-to-end solution development: Lead the prioritization and sequencing of workstreams that deliver complete hardware and software solutions, ensuring cross-functional alignment and timely execution
Address OEM partner concerns and provide support: Resolve intricate customer issues, handle partner concerns, and uphold strong technical relationships to ensure satisfaction and swift problem-solving
Coordinate large-scale deployments: Lead technical execution for major customer deployments, coordinating internal and external resources to ensure successful implementation
Recruit and build talent: Participate in the recruitment process, lead interview panels, and prepare hiring justifications for new team members
Influence strategy and policy: Provide input to business units, recommend procedural improvements, and contribute to OEM account strategy and roadmap planning

Skills

Key technologies and capabilities for this role

OEMODMDatacenter OperationsNPIHardware IntegrationSoftware EngineeringSolution ArchitectureTechnical LeadershipCross-Functional CollaborationSales StrategyDeploymentsRecruiting

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Bachelor's or Master's degree (or equivalent) in Computer Science, Electrical Engineering, or MBA with IT management focus is required, along with 8+ years of experience in OEM, ODM, datacenter operations, deployments and management, including 2+ years of leadership experience.

What key skills are needed for the Manager, OEM Solution Architecture position?

Key skills include proven coordination skills for managing workflows, OEM experience with integration cycles, technical breadth in NVIDIA’s GPU, networking, and software stacks, cross-functional leadership, project management expertise, and strategic influence.

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 strong candidate for this position?

Strong candidates have 8+ years in OEM/ODM/datacenter operations with leadership experience, proven skills in coordinating technical engagements and NPI, deep knowledge of NVIDIA technologies, and the ability to lead cross-functional teams and influence strategy.

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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