NVIDIA Corporation

Senior Technical Product Marketing Engineer

NVIDIA Corporation$148K — $287K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • 8+ years of relevant experience in applied AI and agentic frameworks.
  • Strong familiarity with agentic IDEs and AI-assisted coding workflows.
  • Demonstrated bias towards building and rapid prototyping of solutions.
  • Outstanding communication and customer-empathy skills.

Responsibilities

  • Invent and deliver demos, reference applications, and agents for product launches and key customer engagements.
  • Rapidly prototype solutions from concepts to customer-ready applications in days.
  • Engage with customers and partner developers to gather insights and translate them into product direction.
  • Create training materials, technical blogs, and documentation to support sales and developer communities.
  • Represent NVIDIA at industry events and author bylined content for product demonstrations.
  • Collaborate with various teams to influence the roadmap and capabilities of Metropolis.
  • Drive product capabilities with named contributions visible across NVIDIA's platforms.

Benefits

  • Comprehensive health insurance plans for employees and their families.
  • 401(k) retirement plan with company match.
  • Flexible working arrangements and a supportive company culture.
  • Access to employee development programs and continuing education opportunities.
  • Equity and stock option opportunities.
Full Job Description
We are looking for an outstanding Senior Technical Marketing Engineer to join our Metropolis team in Santa Clara, CA. Metropolis ships on a steadfast quarterly cadence, with category-defining capabilities - agents, VLMs, video understanding pipelines, and AI Blueprints - reaching developers and customers in every release. You will join a small, autonomous team of creators that thrives on cracking new problem spaces and shipping the answer, compressing the cycle from emerging problem to working prototype in a week, and to a flagship demo in front of customers and on the GTC stage shortly after. If you bring deep technical mastery, an enthusiast's instinct for the room, an AI-native build style, and the ambition to see your name on the product direction your work drives, we want to hear from you! What You'll Be Doing: • Invent and ship the demos, agents, and reference applications that headline NVIDIA Metropolis launches, GTC keynotes, and flagship customer engagements - agentic Vision AI, multi-agent workflows, video understanding, VLM pipelines, and model fine-tuning. • Move from whiteboard sketch to customer concepts and prototype in days, using agentic IDEs and AI-native coding tools as your default development environment. • Engage directly with customers, partner developers, and the global developer ecosystem - understanding their workflows, pressure points, and roadmaps, and translating that signal into the next reference design. • Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers that empower the global sales force, partner engineers, and the broader developer community. • Represent NVIDIA at GTC, industry conferences, webinars, and partner events, and author the bylined posts that accompany the demos you ship. • Partner with product management and product marketing on go-to-market and developer-engagement strategy for powerful Metropolis capabilities. • Collaborate closely with the architecture, research, libraries, tools, product management, and system software engineering teams at NVIDIA to influence next-generation Metropolis platforms. • Drive product capabilities and roadmap shifts into Metropolis, with your contributions named and visible across Product, Research, and Engineering - credited product influence is a core deliverable of this role, not a side effect. • Travel is required for on-site customer visits, conferences, and developer events (30%) What We Need to See: • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with 8+ years of relevant experience. • Strong applied AI background spanning VLMs, agentic frameworks, model training and fine-tuning, and modern agent orchestration (e.g., NVIDIA Agent Toolkit, LangGraph, MCP). • Fluency with agentic IDEs and AI-assisted coding workflows, which you treat as the primary engine for shipping high-fidelity prototypes and production-grade code at speed - anchored by strong coding fundamentals that let you drop below the abstractions when the work demands it. • A bias toward building: when you don't know how something works, your first move is to prototype a small version of it. Public demos, GitHub repos, or shipped projects speak louder than slides. • Outstanding communication and customer-empathy skills - you genuinely enjoy being in front of developers, customers, and conference audiences, and you bring fresh ideas and a point of view to every conversation. • Comfort with the unknown and a high-agency operating mode: given a one-sentence problem statement, you return with a working artifact and a crisp argument for what to build next. • Brings original ideas to the team - a brainstorm partner who arrives with a take, not a status update. • A track record of turning customer signal into pioneering product outcomes - features, models, or roadmap shifts that exist because you advocated for them. Ways to Stand Out from the Crowd: • Hands-on experience across NVIDIA's Physical AI and agentic stack - Metropolis, Nemotron, NVIDIA Agent Toolkit, NIM, AI Blueprints, Cosmos, DeepStream, Isaac, and Omniverse. • Shipped agentic Vision AI applications in production - multi-agent orchestration, tool use, agent skills, and evals. • Foundation model post-training experience (SFT, RLHF, distillation) for vision and multi-modal models. • A public footprint - repos, demos, or talks - that reflects an AI-tool-native development style. • A demonstrable record of customer focused product influence - features, models, or roadmap shifts traceable to your work. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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