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Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

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Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

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100% of people report that it’s easy to take time off if they are sick.
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100% of people report that they get to take their breaks without interruption.
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Some people feel stressed out here.
40% of people say they often feel stressed out at work.
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40% of people report that they wouldn’t recommend working with their immediate team to a friend.
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Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 100% of people report being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.
What other companies are hiring for Account Manager jobs?
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Infographic showing various Account Manager job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% Hybrid, and 2% Remote job distribution.
Senior Account Manager, Host Networking Segment Sales

Senior Account Manager, Host Networking Segment Sales

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 4 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.

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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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