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Nvidia Pre Sales Jobs (NOW HIRING)

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc * Adept at using initiative ...

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc * Adept at using initiative ...

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc * Adept at using initiative ...

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Nvidia Pre Sales information

See salary details

$16.5K

$56.3K

$118K

How much do nvidia pre sales jobs pay per year?

As of Jun 5, 2026, the average yearly pay for nvidia pre sales in the United States is $56,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Pre Sales professional, and why are they important?

To thrive as an Nvidia Pre Sales professional, you need a solid background in computer science, engineering, or a related field, along with a deep understanding of Nvidia's hardware and software solutions. Familiarity with technical tools such as GPU architectures, CUDA, AI/ML frameworks, and relevant certifications like Nvidia Deep Learning Institute credentials is highly valued. Outstanding communication, presentation abilities, and problem-solving skills help you effectively translate complex technical concepts to diverse stakeholders. These skills and qualifications are essential for building customer trust, designing tailored solutions, and driving successful sales outcomes in a competitive technology market.

How does an Nvidia Pre Sales professional typically collaborate with sales teams and clients during the solution development process?

Nvidia Pre Sales professionals work closely with sales teams to understand client needs, tailoring technical solutions and presentations to address specific business challenges. They often participate in meetings with prospective clients, providing technical expertise, conducting product demonstrations, and answering complex questions. This role requires strong communication skills and the ability to translate technical capabilities into business value, ensuring that proposed solutions align with client objectives. Collaboration with product management and engineering teams is also common, especially when customizing solutions or addressing unique requirements.

What are Nvidia Pre Sales professionals?

Nvidia Pre Sales professionals are technical experts who work with potential customers to understand their needs and demonstrate how Nvidia’s products and solutions can meet those requirements. They play a key role in the sales process by providing technical presentations, product demonstrations, and answering detailed questions about Nvidia’s offerings. Their work ensures that clients have a clear understanding of the value and capabilities of Nvidia technologies before making a purchase decision. Pre Sales professionals also collaborate closely with sales, engineering, and product teams to deliver tailored solutions.

What is the difference between Nvidia Pre Sales vs Nvidia Sales Engineer?

AspectNvidia Pre SalesNvidia Sales Engineer
Primary RolePre-sales technical consulting and solution designCustomer engagement and closing sales
Required SkillsTechnical expertise, product knowledge, presentation skillsTechnical knowledge, communication, negotiation skills
Work EnvironmentCollaborates with sales teams and clients during pre-sales phaseWorks directly with clients to finalize sales and implementations
CertificationsOften requires technical certifications, industry knowledgeSales certifications beneficial, technical background preferred

While Nvidia Pre Sales focuses on technical consulting and solution design before a sale, Nvidia Sales Engineers engage directly with clients to close deals and ensure successful implementation. Both roles require technical knowledge, but Pre Sales emphasizes solution architecture, whereas Sales Engineers focus on sales closure and client relationships.

Infographic showing various Nvidia Pre Sales job openings in the United States as of May 2026, with employment types broken down into 2% Full Time, 92% Part Time, 1% Temporary, and 5% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $56,329 per year, or $27.1 per hour.
Senior Director, NVIDIA AI Inference Sales

Senior Director, NVIDIA AI Inference Sales

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 7 days ago


Job description

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, encouraging 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.

We are looking for a Senior leader to orchestrate embedded NVIDIA AI software Go-To-Market strategy and co-sales with our partners. As Enterprise adoption of Agentic AI is rising, we are seeing a tremendous increase in our partners plans to embed NVIDIA AI software and Acceleration libraries in their products. For this highly sought after role, we need a high-reaching leader to work closely with our partners to drive partner sales, NVIDIA sales, and customer engagements! The goal is to increase adoption and use of the NVIDIA platform, including hardware and software. "Embed and Scale" is our key GTM strategy and therefore sales motion. This person will also drive enablement materials, sizing guides, train partners and field and drive industry feedback to the product teams.

What you'll be doing:

  • Go-to-Market & Scale: Collaborate multi-functionally with Product Management, Product Marketing, Developer Relationship Managers and Solution Architects to Define and Implement a leadership Inference go-to-market strategy!
  • Strategic Ecosystem Engagement: Identify, engage, and lead strategic relationships with Independent Software Vendors (ISVs), Inference Service Providers, OEMs, and Global system integrators to accelerate the design-in and integration of AI technologies developed by NVIDIA with partner platforms.
  • Enablement & Content Creation: Develop and deliver high-impact technical enablement materials across NVIDIA sales and the partner ecosystem.
  • Roadmap Influence & Feedback Loop: Collect, analyze, and communicate the technical requirements and challenges of ISVs, OEMs and partners back to NVIDIA's internal product teams to directly influence the roadmaps.
  • Lead weekly pipeline and revenue growth calls centered on NVIDIA AI software with our worldwide segment sales teams.
  • Assist with the enterprise Light House Accounts (LHAs) process for NVIDIA AI software globally. Partner with the NVIDIA Industry Business Development (IBD) and regional sales teams.

What we need to see:

  • Bachelor's degree or equivalent experience
  • 18+ overall years of sales and/or business development experience
  • 7+ years of proven experience in leading a business development team.
  • AI Software sales experience in cloud and on-prem environments
  • Deep understanding of software development lifecycle, developer enablement, software integration, commercialization
  • Proven history of integrating software and developing solutions with ISVs. Demonstrated ability to provide thought leadership, think strategically, and effectively communicate vision
  • Comparative understanding of cloud, on-premises, and hybrid cloud environments
  • Excellent verbal and written communication skills
  • Ability to efficiently get things done with a distributed team

Ways to stand out from the crowd:

  • Understanding of AI and data science workflows, including NVIDIA AI SDK and Frameworks (NeMo, Riva, NIMs, Triton, RAPIDS, Omniverse, CUDA-X Libraries)
  • Previous role driving AI adoption at an ISV, selling open source software (OSS), or building joint GTM plays with hyperscalers.
  • Background in enterprise SaaS sales, consulting, or technical pre-sales with an AI/ML focus.
  • Passion for transforming enterprise workflows through AI.
  • Consistent record of delivering joint revenue growth through ISV partnerships.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 332,000 USD - 500,250 USD.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until April 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

#deeplearning


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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993