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.
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.
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
- MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field, or equivalent experience
- 10+ years of relevant experience developing and deploying networks at scale as a software engineer or network architect
- Experience building cloud-grade networks using open-source tools and orchestration frameworks
- Strong foundation in network topology and observability
- Strong knowledge of telecom network telemetry, logs, SNMP, and NetFlow/IPFIX
- Excellent communication and presentation skills for internal and external customer collaboration
- Hands-on experience with inference workloads, networks, and related tools
- Understanding of SDN/NFV, security, and cloud-native networking solutions
- Knowledge of networking stacks and architecture in cloud environments
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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.”
