We are seeking driven, high-energy, networking savvy candidates to join the Solutions Architecture team. You will help major cloud platforms develop, validate, and deploy world-leading networking solutions using NVIDIA NICs and DPUs. You’ll bridge customer needs with advanced product execution, collaborating across engineering, sales, and product teams. Come join us!
What you'll be doing:
Introduce, qualify, and integrate NVIDIA NIC and DPU products with cloud service providers, addressing sophisticated and obvious customer issues.
Build customer trust and understanding their outstanding networking requirements will be crucial.
Run technical meetings such as project evaluations, feature discussions, debugging sessions, and workshops.
Optimize host networking and performance by analyzing bottlenecks (CPU, PCIe, memory, NUMA) and develop PoC solutions for critical business needs.
Lead presale and architecture activities with customers and implementing innovative networking solutions, including Spectrum switch, ConnectX network adapter, and Bluefield DPU
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience is required.
12+ years in Solution Engineering or similar roles.
A proven background in data center and cloud provider network architecture is necessary.
Passion for improving customer experience is essential.
Hands-on experience with NIC hardware and software stacks, including configuration, testing, and solving, is required.
You must have proficiency in networking fundamentals, such as NICs, switching, and protocols in modern data centers. Comprehensive knowledge of computer system architecture, Linux, PCIe devices, and networking management protocols is needed.
Work independently, manage priorities well, and have excellent communication skills to serve as a trusted advisor.
Ways to stand out from the crowd:
Exhibit practical experience with NICs, DPUs, and Ethernet switches.
Knowledge of system and board-level development trade-offs for high-performance NIC integration (thermal, power, signal integrity, BMC, BIOS integration) will set you apart.
Experience working with Cloud Service Providers and showcasing in-depth knowledge of RDMA, Collectives, and AI benchmarking will be highly valued.
A background with NVIDIA hardware/software will make you a standout candidate!
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 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 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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”
