4 days ago

Technical Product Marketing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Drive NVIDIA Metropolis launches by inventing and shipping agentic Vision AI demos, agents, and reference applications. Rapidly prototype customer concepts using agentic IDEs and AI-native coding tools, while translating customer and developer feedback into next reference designs and roadmap shifts. Create training toolkits, demo scripts, technical blogs, and whitepapers to enable sales and partner engineers. Represent NVIDIA at GTC and conferences, with ~30% travel for on-site engagements.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Invent and ship demos, agents, and reference applications for NVIDIA Metropolis launches, GTC keynotes, and customer engagements.
•Prototype customer concepts quickly from whiteboard sketches into working prototypes using agentic IDEs and AI-native coding tools.
•Engage with customers, partner developers, and the developer ecosystem to understand workflows and translate feedback into next reference designs.
•Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers to enable sales and developer community.
•Represent NVIDIA at GTC, conferences, webinars, and partner events; travel ~30% for on-site customer visits and events.

Travel: Medium travel

Pay and Benefits

Salary: USD 116,000 - 184,000 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) with solid internships.
•2+ years applied AI experience spanning VLMs, agentic frameworks, model training and fine-tuning, and modern agent orchestration.
•Fluency with agentic IDEs and AI-assisted coding workflows, with strong coding fundamentals for building prototypes and production-grade code.
•Bias toward building: prototype small versions when you don’t know how something works; public demos/repos/shipped projects preferred.
•Outstanding communication and customer-empathy skills; enjoy being in front of developers, customers, and conference audiences.

Experience:2+ yearsApplied AIAgentic frameworksVLMComputer visionMultimodalDeveloper ecosystem

Education:Bachelor's in Computer Science or Electrical Engineering

Skills:CommunicationCustomer empathyHigh agencyPrototype mindset

Tech Stack:NVIDIA MetropolisVLMsVideo understandingAI BlueprintsNVIDIA Agent ToolkitLangGraphMCPAgentic IDEsAI-assisted codingMulti-agent orchestrationFine-tuningGitHubNemotronNIMCosmosDeepStreamIsaacOmniverseSFTRLHF

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 days ago

Technical Product Marketing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Invent and ship demos, agents, and reference applications for NVIDIA Metropolis launches, GTC keynotes, and customer engagements.
•Prototype customer concepts quickly from whiteboard sketches into working prototypes using agentic IDEs and AI-native coding tools.
•Engage with customers, partner developers, and the developer ecosystem to understand workflows and translate feedback into next reference designs.
•Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers to enable sales and developer community.
•Represent NVIDIA at GTC, conferences, webinars, and partner events; travel ~30% for on-site customer visits and events.

Travel: Medium travel

Pay and Benefits

Salary: USD 116,000 - 184,000 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) with solid internships.
•2+ years applied AI experience spanning VLMs, agentic frameworks, model training and fine-tuning, and modern agent orchestration.
•Fluency with agentic IDEs and AI-assisted coding workflows, with strong coding fundamentals for building prototypes and production-grade code.
•Bias toward building: prototype small versions when you don’t know how something works; public demos/repos/shipped projects preferred.
•Outstanding communication and customer-empathy skills; enjoy being in front of developers, customers, and conference audiences.

Experience:2+ yearsApplied AIAgentic frameworksVLMComputer visionMultimodalDeveloper ecosystem

Education:Bachelor's in Computer Science or Electrical Engineering

Skills:CommunicationCustomer empathyHigh agencyPrototype mindset

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor