Do you want to be part of a team that brings new Artificial Intelligence (AI) technology to NVIDIA’s largest customers? We are looking for an experienced networking Solutions Architect to support accelerated computing networking solutions for AI/ML and HPC on hyperscalers! As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA’s most strategic customers with both hardware and software solutions while offering technical insight and support to business and engineering teams based on product strategy.
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. A big part of the day to day job is to help customers debug issues, manage feature request processes, and coordinate the co-engineering program.
Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Be the go-to technical resource for customers building complex AI infrastructure as well as helping them understand performance characteristics for solutions
Work with customers to build PoCs for solutions to address critical business needs
Prepare and deliver technical content to customers including presentations, workshops, etc.
Analyze and develop solutions for customer performance issues for both AI workload and systems performance
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
5+ years of engineering(performance/system/solution) experience
Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network.
Experience with Ethernet L2-L7 networking protocol stack.
Strong analytical and problem-solving skills
Ability to multitask efficiently in a dynamic environment, ability to work with teams across geographical locations
Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
Ways to stand out from the crowd:
Deep understanding and hands on experience with Ethernet Switch software solution and data center production network.
Strong experience with RDMA/RoCE and smart NICs
Hands on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc.
Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows.
Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies.
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
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
- BS, MS, PhD in Electrical Engineering, Computer Engineering, Computer Science, Physics, another engineering field, or equivalent experience
- 5+ years of engineering, performance, systems, or solutions experience
- Expertise with dense data center design involving networking, compute, and storage
- Familiarity with cloud and hybrid cloud networking
- Experience with Ethernet Layer 2 through Layer 7 networking protocol stacks
- Strong analytical and problem-solving skills
- Ability to multitask efficiently in a dynamic environment
- Ability to collaborate with geographically distributed teams
- Clear written and oral communication skills with executives and engineering teams
- Deep understanding and hands-on experience with Ethernet switch software and data center production networks
- Strong experience with RDMA/RoCE and Smart NICs
- Hands-on GPU and networking systems experience, including performance testing, tuning, and benchmarking
- Systems engineering, coding, and debugging experience with Python, Ansible, Go, C/C++, Bash, Linux, and Windows
- Experience supporting deep learning, machine learning, or HPC networking infrastructures
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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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.”
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