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Executive Nvidia Sales Jobs (NOW HIRING)

Nvidia

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In addition to building demand driven by workloads, this leader will handle daily NIC sales ... Can present complex marketing and technical content to executives at NVIDIA, our partners, ISVs ...

Nvidia

... sales account management, training, and education to your customers. * Establish relationships with key executives to achieve endorsement of NVIDIA solutions and adoption of same by their developer ...

Nvidia

Account Manager, Healthcare MedTech

New York, NY · On-site

... sales account management, training, and education to your customers. * Establish relationships with key executives to achieve endorsement of NVIDIA solutions and adoption of same by their developer ...

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How much do executive nvidia sales jobs pay per year?

As of Jul 19, 2026, the average yearly pay for executive nvidia sales in the United States is $82,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,000.00 per year, depending on experience, location, and employer.

How much does a VP of sales make at NVIDIA?

A Vice President of Sales at NVIDIA typically earns between $200,000 and $400,000 annually, including base salary, bonuses, and stock options. Compensation varies based on experience, performance, and location, with senior sales executives often receiving additional incentives for meeting sales targets.

What is the highest paying job in NVIDIA?

In NVIDIA, executive roles such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and Vice Presidents tend to be the highest paying positions, often earning multi-million dollar compensation packages that include salary, bonuses, and stock options. These roles require extensive experience, leadership skills, and often advanced degrees in relevant fields. Compensation varies based on performance, company profitability, and individual negotiations.

How much do NVIDIA sales reps make?

NVIDIA sales representatives typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and performance bonuses. Entry-level reps may start lower, while experienced or senior sales roles can include additional commissions and incentives. Strong knowledge of NVIDIA products and sales skills are important for higher earnings.

How difficult is it to get hired at NVIDIA?

Getting hired as an Executive Nvidia Sales requires relevant experience in sales, strong technical knowledge of Nvidia products, and a proven track record in the industry. The hiring process is competitive and typically involves multiple interview rounds, assessments, and demonstrating strategic sales skills. Candidates often need a bachelor's degree or higher and familiarity with sales tools and customer relationship management systems.
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Executive Nvidia Sales jobs near you
Senior Account Manager, Host Networking Segment Sales

Senior Account Manager, Host Networking Segment Sales

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 8 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are now looking for a dynamic business leader to grow NVIDIA's Host Networking business for AI infrastructure through AI Labs and Hyperscalers. This Segment Sales Lead will drive strategic direction, customer engagement, and multi-year growth for networking products such as NVIDIA DPUs, SuperNICs, and the associated software and ecosystem. Success in this role will be contingent upon your ability to forge strong relationships and build trust with executives, architects, product leaders, and platform teams across NVIDIA and our largest customers. You will lead the go-to-market motion, connecting customer AI factory needs to NVIDIA's networking portfolio and aligning product, sales, engineering, architecture, marketing, and partner teams to secure design wins and scale deployments.

What you'll be doing:

  • Identify, develop and close strategic design wins for DPU and SuperNIC solutions with lighthouse AI labs and hyperscaler AI infrastructure customers

  • Build and execute the segment sales strategy for host networking across hyperscaler and frontier model partner AI factories, GPU-accelerated computing, and cloud infrastructure platforms

  • Define customer-specific DPU and SuperNIC value propositions and deployment motions, and lead a matrixed team across product, sales, solution architects, engineering and marketing teams.

  • Promote NVIDIA host networking products externally and internally, positioning their value for AI workloads, throughput, latency, CPU efficiency, security and storage acceleration, telemetry, and fleet operations.

  • Build a robust opportunity pipeline with segment sales and account teams, including account mapping, customer requirements, proof points, executive engagement, and partner alignment.

  • Track and drive quarterly business reporting, forecast accuracy, design-win progress, roadmap asks, and competitive insights.

What we need to see:

  • A technical and commercial university degree (or equivalent experience).

  • 15+ years of experience driving sales, business development, or go-to-market strategy for data center networking, cloud infrastructure, accelerated computing, semiconductor, or infrastructure software products.

  • Experience closing strategic networking, silicon, platform, or infrastructure design wins with hyperscalers, cloud service providers, or leading internet-scale customers.

  • Track record of launching and growing new product offerings for hyperscaler AI infrastructure, directly with customers and through partner or ecosystem motions.

  • Strong working knowledge of DPU, SmartNIC, SuperNIC, NIC, server networking, RDMA over Ethernet, virtualization, cloud security and storage offload, and AI data center architectures.

  • Can present complex marketing and technical content to executives at NVIDIA, our partners, and hyperscaler customers.

Ways to stand out from the crowd:

  • Product and business development leadership experience with leading data center networking, cloud infrastructure, semiconductor, or systems suppliers.

  • Intimate understanding of hyperscaler AI factory architectures, host networking requirements, server attach models, product qualification, and operational tradeoffs.

  • Familiarity with NVIDIA networking products and software for AI infrastructure, including DPUs, SuperNICs, Ethernet networking, accelerated compute, and large-scale AI clusters.

  • Foundation knowledge of high-performance networking technologies, Ethernet, RoCE/RDMA, GPU accelerated computing, generative AI, LLM training and inference, Network SerDes, in-network compute, PCIe, and CXL.

  • Technical knowledge of NVIDIA products and services, plus hyperscaler procurement, qualification, deployment, and lifecycle models.

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!

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 248,000 USD - 396,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 14, 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.

What Nvidia employees say

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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

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