NVIDIA Corporation

Senior Solutions Architect, Inference Networking ISV Enablement

NVIDIA Corporation$184K — $356K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related fields
  • 10+ years of experience in network development and deployment
  • Proven experience building cloud-grade networks using open-source tools
  • Strong knowledge of network telemetry, logs, SNMP, and NetFlow/IPFI
  • Excellent communication and presentation skills

Responsibilities

  • Apply NVIDIA and OSS tools to create and manage inference solutions
  • Enable deployment and support for NVIDIA strategic Telecom ISVs
  • Collaborate with developers for onboarding onto AI-Grid platforms
  • Anticipate needs of Telecom ISV partners and customers to enhance NVIDIA adoption
  • Build repeatable reference architectures for AI-Grid Networking
  • Assist customers in designing high-performance, secure networks

Benefits

  • Eligible for equity
  • Supportive environment focused on fostering diverse ideas
  • Opportunity to make a lasting impact through innovative technologies
Full Job Description

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 .

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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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