Senior Solutions Architect, Networking - Hyperscale

Posted 14 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
224K-431K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead integration and deployment of NVIDIA networking for hyperscale AI/HPC customers. Analyze, design, implement, and troubleshoot large-scale networks; develop PoCs; run technical meetings, debugging sessions, and workshops; partner with Sales and Product teams to define requirements and secure opportunities.
Summary Generated by Built In

We are seeking driven, high-energy, networking engineers to join the Solutions Architecture team in building the world’s largest and fastest AI/HPC systems using NVIDIA Networking. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement, and troubleshoot large-scale networking projects with customers and internal teams.

What you’ll be doing:

  • Introduce and integrate NVIDIA networking products with Hyperscalers

  • Build customers’ trust and understand their unique needs

  • Address sophisticated and obvious customer issues alongside engineering and support teams

  • Conduct technical meetings for project/product details, feature discussions, and debugging sessions

  • Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms

  • Develop Proof of Concept (PoC) solutions for critical business needs

  • Prepare and deliver technical presentations and workshops to customers

What we need to see:

  • Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)

  • 12+ years of Solutions Engineering or similar engineering experience

  • Passion to enhance customer experience

  • Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture

  • Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance

  • Experience in configuring, testing, and troubleshooting in networking environments

  • Ability to work independently and manage multiple priorities

  • Excellent communication skills to act as a trusted advisor to customers

Ways to stand out from the crowd:

  • Experience working with custom network OS (such as SONiC, FBOSS, or similar)

  • Experience working with or calling on Cloud Service Providers (e.g., Meta)

  • Exemplify a unique combination of strong interpersonal skills and technical proficiency

  • Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking

  • Background with NVIDIA hardware and software

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!

#NALASAHiring

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 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 or higher in Electrical/Computer Engineering or related field (or equivalent experience)
  • 12+ years of Solutions Engineering or similar engineering experience
  • Proficiency in networking fundamentals including NICs, server systems, data center architecture, switching, routing, and networking protocols
  • Comprehensive knowledge of computer system architecture, Linux, and PCIe devices as they relate to networking performance
  • Experience configuring, testing, and troubleshooting in networking environments
  • Ability to work independently and manage multiple priorities
  • Excellent communication skills to act as a trusted advisor to customers
  • Passion to enhance customer experience
  • Experience with custom network OS (such as SONiC, FBOSS, or similar)
  • Experience working with or calling on Cloud Service Providers (e.g., Meta)
  • In-depth knowledge of RDMA, including performance testing and AI benchmarking
  • Background with NVIDIA hardware and software

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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