NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Integrate customers by assisting with license registration, entitlement activation, support access, and initial value planning.
Conduct needs assessments to align customer workloads with NVIDIA software libraries, frameworks, reference architectures, and platform capabilities.
Collaboratively define and track success metrics tied to business outcomes, workload performance, adoption health, and renewal readiness.
Promote adoption and growth across NVIDIA AI Enterprise, Run:ai, Mission Control, NIM, NeMo, NVIDIA Agent Toolkit, CUDA-X libraries, DGX OS, Omniverse/Physical AI, vGPU, and associated software.
Coordinate field teams, solution architects, support, product, engineering, partners, and customer collaborators to remove adoption blockers and accelerate time to value.
Lead customer health reviews and executive readouts that connect technical adoption to measurable customer outcomes.
Capture repeatable adoption patterns and customer feedback to improve enablement, support quality, and the overall customer experience.
What we need to see:
Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related technical field, or equivalent experience.
At least 8+ years working in customer success, technical account management, solution architecture, professional services, support leadership, or enterprise software deployment.
Customer-first approach with a genuine passion for helping customers achieve their goals and delivering outstanding experiences.
Technical curiosity and agility, with eagerness to learn emerging AI technologies and stay current in a rapidly evolving landscape.
Strong technical foundation across AI/ML concepts, accelerated computing workloads, cloud/on-prem infrastructure, and NVIDIA software.
Consultative engagement skills, with the ability to translate complex technical capabilities into clear business value for diverse collaborators.
Experience managing complex customer relationships across technical users, business owners, executives, partners, and support teams.
Strategic perspective gained from experience in AI, accelerated computing, high-performance computing, cloud, or enterprise software settings.
Ways to stand out from the crowd:
Active listening and discovery skills that uncover the customer's platform, difficulties, operating model, and strategic objectives.
Ability to rapidly assimilate complex customer environments and map their challenges to practical NVIDIA platform recommendations.
Strength in simplifying complex technical architectures into clear, actionable mentorship for technical and non-technical audiences.
Visible passion for AI innovation and proficiency in accelerated computing, enterprise AI, and modern software adoption patterns.
Experience building customer lifecycle models, adoption dashboards, health scoring, or support-to-renewal playbooks.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Business, a related technical field, or equivalent experience
- At least 8 years of experience in customer success, technical account management, solution architecture, professional services, support leadership, or enterprise software deployment
- Experience with AI/ML concepts, accelerated computing workloads, cloud or on-premises infrastructure, and NVIDIA software
- Strong consultative engagement skills and ability to translate complex technical capabilities into business value
- Experience managing complex customer relationships across technical users, business owners, executives, partners, and support teams
- Strategic experience in AI, accelerated computing, high-performance computing, cloud, or enterprise software environments
- Active listening and customer discovery skills
- Ability to map complex customer environments to practical NVIDIA platform recommendations
- Ability to simplify complex technical architectures for technical and non-technical audiences
- Experience building customer lifecycle models, adoption dashboards, health scoring, or support-to-renewal playbooks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
