Senior Director, NCP and ISV Business Development

Posted One Month Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
304K-460K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead NCP and ISV business development for DGX Cloud and DSX OS: identify and prioritize partners, negotiate and manage agreements, coordinate cross-functional teams, drive technical integrations, build joint business plans, and convert partnerships into measurable customer deployments and revenue.
Summary Generated by Built In

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 harnessing the boundless possibilities of AI to build the future landscape 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. Join our team and discover how you can build a lasting impact on the world.

Join NVIDIA, a trailblazer in computer graphics, AI, and advanced computational technologies, and embrace a pivotal role within our DGX Cloud and DSX OS teams as Senior Director, NCP & ISV Business Development. This position provides an exceptional opportunity to foster strategic partnerships, support technical integrations, and offer outstanding solutions. If you are passionate about innovation and committed to generating lasting business impact, this position is for you!

What you'll be doing:

  • Attaining the NCP and ISV business-development plan for DGX Cloud and DSX OS through collaboration with a diverse group of software and cloud partners.

  • Researching, identifying, qualifying, and prioritizing prospective partners based on strategic fit, customer demand, technical value, and business potential.

  • Developing partner relationships with business, product, engineering, and executive collaborators.

  • Managing the agreement lifecycle from initial opportunity definition through negotiation, internal approval, signature, launch, and ongoing governance.

  • Leading day-to-day development of program and commercial agreements for onboarding, integration, validation, certification, joint solutions, marketplace participation, and co-sell initiatives.

  • Coordinating internal reviews with Legal, Finance, Product, Engineering, Sales, Developer Relations, Security, Marketing, and Operations.

  • Detailing partner deliverables, achievements, success measures, and paths for addressing critical issues.

  • Working with technical teams to translate integration requirements into executable partner commitments.

  • Building and maintaining joint business plans to move signed partners into active integrations, validated offerings, and customer deployments.

  • Preparing and running partner operating reviews, tracking commitments, identifying risks, and driving follow-through.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience

  • 18+ overall years of experience in business development, strategic partnerships, alliances, cloud platforms, enterprise software, AI infrastructure, or a related field with 10+ years of leadership experience managing large, geographically distributed sales teams

  • Proven success originating, structuring, negotiating, and activating complex strategic agreements with cloud providers, software companies, platform partners, or other technology ecosystem participants.

  • Comprehensive knowledge of cloud and AI business frameworks, partner financial dynamics, platform engagement, and the commercial factors involved in launching collaborative technology solutions to market.

  • Experience leading both programmatic and commercial negotiations, including the ability to develop arguments, financial models, value exchanges, commitments, achievements, and governance structures.

  • Strong technical proficiency across AI infrastructure, cloud platforms, distributed systems, Kubernetes, orchestration, training, inference, observability, resiliency, or related software layers.

  • Demonstrated ability to work credibly with partner executives as well as product managers, engineers, solution architects, finance teams, and attorneys.

  • A record of converting signed partnerships into measurable operating results—not simply completing transactions.

  • Outstanding judgment, executive communication, relationship development, and negotiation skills.

  • Ability to influence complex organizations without direct authority and personally drive multiple strategic workstreams from ambiguity to completion.

Ways to stand out from the crowd:

  • Established relationships across NCPs, cloud infrastructure providers, AI-native companies, enterprise ISVs, and the broader AI software ecosystem.

  • Experience with GPU clouds, AI factories, infrastructure software, developer platforms, or production AI workloads.

  • Experience developing marketplace, co-sell, consumption, offtake, certification, validation, or joint-solution agreements.

  • Familiarity with NVIDIA technologies and ecosystem programs, including DGX, CUDA, Kubernetes-based AI infrastructure, inference and training software, or partner-validation programs.

  • Experience building a new partnership motion, commercial framework, or partner program from the ground up.

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 consider your future, explore what we can provide for you and your family at www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 304,000 USD - 460,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
  • 18+ years experience in business development, strategic partnerships, cloud platforms, enterprise software, AI infrastructure, or related field
  • 10+ years of leadership experience managing large, geographically distributed sales or partner teams
  • Proven success originating, structuring, negotiating, and activating complex strategic agreements with cloud providers, software companies, or platform partners
  • Comprehensive knowledge of cloud and AI business frameworks, partner financial dynamics, platform engagement, and commercial go-to-market factors
  • Experience leading programmatic and commercial negotiations, developing financial models, value exchanges, commitments, and governance structures
  • Strong technical proficiency across AI infrastructure, cloud platforms, distributed systems, Kubernetes, orchestration, training, inference, observability, and resiliency
  • Demonstrated ability to work credibly with partner executives, product managers, engineers, solution architects, finance teams, and attorneys
  • Proven record of converting signed partnerships into measurable operating results (active integrations, validated offerings, customer deployments)
  • Outstanding judgment, executive communication, relationship development, and negotiation skills
  • Ability to influence complex organizations without direct authority and drive multiple strategic workstreams from ambiguity to completion
  • Established relationships across NCPs, cloud infrastructure providers, AI-native companies, enterprise ISVs, and the broader AI software ecosystem
  • Experience with GPU clouds, AI factories, infrastructure software, developer platforms, or production AI workloads
  • Experience developing marketplace, co-sell, consumption, offtake, certification, validation, or joint-solution agreements
  • Familiarity with NVIDIA technologies and ecosystem programs (DGX, CUDA, Kubernetes-based AI infrastructure, partner-validation programs)
  • Experience building a new partnership motion, commercial framework, or partner program from the ground up

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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