NVIDIA
Senior Solutions Architect, Inference Networking ISV Enablement
Santa Clara, CA · On-site · Senior
- Discipline
- Systems
- Industry
- Semiconductor
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Senior Solutions Architect at NVIDIA in Santa Clara, CA, focusing on enabling ISVs to deploy inference-enabled networking solutions. Lead architecture, orchestration, and enablement of telecom networking stacks for AI inference workloads.
$184,000–$356,500 / year · Equity · 10+ years · MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related fields (or equivalent experience)
Required
- MSc/PhD or equivalent
- 10+ years experience in developing and deploying networks at scale
- experience building cloud-grade networks with open-source tools
- telecom networks knowledge (telemetry, SNMP, NetFlow/IPFIX)
- strong communication skills
- experience with SDN/NFV and cloud-native networking (nice to have)
Preferred
- inference workloads experience
- experience with AI-grid platforms
- knowledge of networking stacks in cloud environments
- hands-on with telecom network infrastructure
Benefits
- medical
- 401k
- equity
- PTO
Employer description
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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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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