Technical Business Strategist, AI and ML at NVIDIA

Santa Clara, California, 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

Technology, Artificial Intelligence, Cloud ComputingIndustries

Requirements

Bachelor’s or Master’s in Business, Engineering, Computer Science, Data Science, or equivalent experience
12+ years of experience in cloud strategy, AI infrastructure consulting, or partner ecosystem development
Solid understanding of GPU-accelerated computing, AI infrastructure, and cloud architecture
Demonstrable ability to translate technical solutions into strategic business narratives and measurable value frameworks
Experience interacting with executive team members and ecosystem partners across both public and private sectors
Effective communication and storytelling skills across technical and strategic audiences

Responsibilities

Guide partners along their Exemplar Path, a collective journey towards demonstrating outstanding cloud acceleration performance, scalability, and innovation leadership
Collaborate with NVIDIA’s Cloud, Partner, and Enterprise Solutions teams to co-develop strategies that align cloud architecture with customer and national objectives
Develop business and technical roadmaps that connect infrastructure investment with measurable business impact and long-term ecosystem growth
Collaborate with sovereign and hyperscale cloud providers to establish AI acceleration strategies using NVIDIA’s technology stack (DGX Cloud, NVIDIA AI Enterprise, Grace Hopper, NVLink, CUDA)
Lead executive-level workshops and strategy sessions with partner leadership teams to align vision, performance goals, and value creation
Support joint go-to-market initiatives that highlight exemplar implementations of NVIDIA accelerated computing within global and sovereign clouds
Act as a trusted advisor and ecosystem strategist, connecting technology performance to economic, environmental, and strategic outcomes
Contribute to NVIDIA’s Sovereign AI and Cloud Acceleration playbooks, defining frameworks for innovation that respect data sovereignty while scaling AI adoption

Skills

CUDA

DGX Cloud

NVIDIA AI Enterprise

Grace Hopper

NVLink

Cloud Architecture

Business Strategy

Go-to-Market

Roadmapping

Workshops

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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