NVIDIA

NVIDIA

Posted via Workday

Senior Solutions Architect, Inference Networking ISV Enablement

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
10+ years of relevant work experience in developing and deploying networks at scale as a Software Engineer or network architect.
Education
MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, or related fields (or equivalent experience).

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Role Summary

AI-generated

The Telco Solution Architecture team is seeking a solution architect to enable Network Industry Software Vendors developing network stacks for distributed inference across wide area and cloud networks. The role focuses on applying AI inference-aware technology to routing, securing, and load balancing workloads and helping customers and partners adopt NVIDIA networking tools and platforms.

What You'll Do

  • Apply NVIDIA and open-source tools to define, build, and orchestrate inference solutions.
  • Enable strategic Telecom ISVs to deploy and support defined designs.
  • Provide technical guidance to developers onboarding to AI-Grid platforms and SDKs.
  • Identify enablement opportunities to expand adoption and utilization of NVIDIA networking tools and platforms.
  • Establish repeatable reference architectures for AI-Grid Networking and communicate standard processes and solution trade-offs.
  • Help customers design high-performance, secure, workload-aware networks using NVIDIA libraries and SDKs.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

MSc or PhD in Computer Science, Electrical Engineering, Software Engineer, or related fields, or equivalent experience; 10+ years of relevant experience developing and deploying networks at scale; experience building cloud-grade networks using open-source tools and orchestration frameworks; strong foundation in network topology and observability; expertise in network telemetry, logs, SNMP, NetFlow/IPFI; excellent communication and presentation skills.

Required

  • Cloud-grade networks using open-source tools and orchestration frameworks
  • Network topology and observability
  • Network telemetry, logs, SNMP, NetFlow/IPFI
  • Communication and presentation skills

Preferred

  • Hands-on experience with inference workloads, networks, and tools
  • Knowledge of SDN/NFV, security, and cloud-native networking solutions
  • Knowledge of networking stacks and architecture in cloud environments

Original job description

Content provided by the employer

NVIDIA is looking for an ambitious and forward-thinking solution architect to help in the enablement of Network Industry Software Vendors (ISVs). These ISVs are developing a network stack for distributed inference which will be used to orchestrate wide area networks/cloud Networks. Enabling a workload aware network for routing, securing and load balancing inference.

As part of the Telco Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and see how you can make a lasting impact on the world by applying AI inference aware technology to existing networks.

What you will be doing:

  • Applying NVIDIA and OSS tools to define, build and orchestrate inference solutions.

  • Enabling NVIDIA strategic Telecom ISVs to deploy and support the design defined above.

  • Collaborate with developers and onboard them to AI-Grid platforms and SDKs by providing deep technical guidance.

  • Anticipate Telecom ISV partners and customers needs and find enablement opportunities to expand adoption and utilization of NVIDIA networking tools and platforms.

  • Establish and build repeatable reference architectures of AI-Grid Networking, communicating standard processes and understanding solution trade-offs. Share findings and feedback to enhance products and services.

  • Help customers design high-performance and secure workload aware networks. Advise on building efficient, scalable workflows using NVIDIA libraries and SDKs.

What we need to see:

  • MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, or related fields (or equivalent experience).

  • 10+ years of relevant work experience in developing and deploying networks at scale as a Software Engineer or network architect.

  • Proven track record of building cloud-grade networks using open-source tools and orchestration frameworks with strong foundation Network topology and observability.

  • Expertise in Telecom Networks: Strong knowledge of network telemetry, logs, SNMP, NetFlow/IPFI.

  • Excellent communication and presentation skills to effectively collaborate with both internal and external customers.

Ways to stand out from the crowd:

  • Hands-on experience with Inference workloads, networks, and tools.

  • Understanding Telecom network infrastructure: Knowledge of SDN/NFV, Security and cloud-native networking solutions.

  • Knowledge of networking stacks and architecture in cloud environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 24, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.