Full-Time
Solutions Architect
Ethernet NIC and DPU
Posted on 4/18/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$224k - $356.5k/yr
Company Historically Provides H1B Sponsorship
Redmond, WA, USA
In Person
 Sales & Solution Engineering (1) |
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- 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
- 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
- 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
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Over 80% AI-training GPU share supports pricing power and scale.
- Microsoft partnership deepens Windows and Azure distribution for agentic AI.
- Helix and Abridge expand NVIDIA into infrastructure and regulated healthcare.
What critics are saying
- U.S. export controls restrict H200 sales to China case-by-case.
- Blackwell shortages leave demand unfilled and invite accelerator competitors.
- Helix exposes NVIDIA to capital-intensive projects and partner execution risk.
What makes NVIDIA unique
- CUDA and full-stack software lock developers into NVIDIA's ecosystem.
- Blackwell GPUs target AI factories, not just gaming or graphics.
- Its platforms span gaming, data centers, robotics, automotive, and healthcare.
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