Full-Time
Senior Technical Marketing Engineer
Data Center Scale Out
Posted on 4/11/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$160k - $322k/yr
Company Historically Provides H1B Sponsorship
California, USA + 1 more
More locations: Santa Clara, CA, USA
Remote
 Sales & Solution Engineering (1) |
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- BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience
- 7+ years in AI data center networking, technical marketing, or solutions architecture roles
- Hands-on knowledge of Ethernet, InfiniBand, RoCE, NVLink interconnects, and large-scale cluster networking
- Understanding of SuperPod architecture, AI datacenter scaling, and high-power deployment considerations
- Experience with TCO/ROI analysis and ability to simplify cost models for exec-level decision makers
- Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators
- Promote and teach large-scale customers about NVIDIA’s purpose-built AI networking solutions for the AI Factory
- Lead the narrative on NVIDIA SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX Network Interface Cards, Bluefield Data Processing Units, and show how NVIDIA platforms address AI factory scale-out challenges
- Work with customers, Cloud Service Providers, and analysts to tackle the realities of building AI factories at scale—connecting thousands of servers across clusters and racks at megawatt power levels—while also demonstrating the economics through Total Cost of Ownership modeling
- Build and deliver content on NVIDIA’s InfiniBand and Ethernet platforms, interconnect topologies, and scaling best practices
- Explain how NVIDIA SuperPod architectures deliver predictable performance and resilience in multi-rack deployments
- Develop and present Total Cost of Ownership (TCO) and Return on Investment analyses, enabling the narrative “the more you buy, the more you make”
- Articulate challenges and solutions in high-power, high-density deployments, including cabling, power distribution, and thermal scaling
- Act as a trusted advisor for hyperscalers, Cloud Service Providers, and enterprises building AI factories at datacenter scale
- Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market
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
- Agentic AI adoption at scale drives major inflection in inference demand globally.
- Jensen Huang projects $3T-$4T global AI factory buildout through 2030.
- Data centre networking revenue surged 263% YoY to $10.98B in Q4 FY2026.
What critics are saying
- Nemotron 3 open weights enable AMD and Intel to replicate NVIDIA's software moat.
- Insider selling over three months signals executive doubt about sustaining 73% growth.
- $30B OpenAI investment exposes NVIDIA to catastrophic losses from governance collapse.
What makes NVIDIA unique
- Vera Rubin launching July 2026 reduces inference token costs tenfold versus Blackwell.
- Nemotron 3 Nano Omni achieves 9x higher throughput on consumer hardware like RTX 4090.
- Clear datacenter product roadmap extends through 2028 with Feynman arriving in 2028.
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6 month growth
↓ -1%1 year growth
↓ -3%2 year growth
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.
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Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.