NVIDIA Logo

NVIDIA

Senior Technical Marketing Engineer - DSX Content Strategy Lead

Posted 20 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in CA, USA
160K-322K Annually
Senior level
Remote or Hybrid
Hiring Remotely in CA, USA
160K-322K Annually
Senior level
Lead the technical narrative and content strategy for NVIDIA DSX, an AI factory platform spanning facilities, power and cooling, compute, networking, storage, software, orchestration, simulation, models, and workloads. Develop reference architectures, whitepapers, guides, demos, workshops, training, videos, and launch assets. Coordinate cross-functional teams and partners, lead flagship demos, identify ecosystem opportunities, influence roadmap and positioning, mentor contributors, and measure content adoption.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA DSX integrates reference designs, simulation tools, infrastructure software, operations, and partner technologies to build optimized and efficient AI factories. We are looking for a Senior Technical Marketing Engineer to lead and develop technical content for DSX. Want to create and tell an end-to-end story across the full stack? This role is for you!

What you'll be doing:

  • Build a cohesive narrative across the DSX portfolio, including facilities infrastructure, power and cooling, compute, networking, storage, infrastructure software, orchestration, simulation, models, and workloads. Show what each layer does, how components fit together within these layers, and why that matters across the development, build, and operations lifecycle.

  • Develop the content needed by AI factory builders and operators, NVIDIA Cloud Partners, sovereign clouds, OEMs, ISVs, system integrators, architecture and engineering firms, facilities and energy partners, developers, customers, and the NVIDIA field.

  • Convert the narrative strategy into consistent and complete technical content across the portfolio, including reference architectures, whitepapers, deployment guides, solution briefs, demos, examples, workshops, training, videos, and launch assets.

  • Lead and coordinate efforts across TME, Product, Engineering, Marketing, Developer Relations, and Field teams. You will need to work with various subject matter experts to identify and surface information necessary for the technical content you craft.

  • Guide the development of flagship demos and reference workflows that showcase DSX capabilities and outcomes such as faster time to first token, more tokens per watt, stronger operational resiliency, better security, and lower token cost.

  • Work directly with partners to find useful integration stories, content gaps, and validation needs. Identify joint opportunities that will help the ecosystem build with and build on DSX.

  • Bring what you learn from customers, partners, and the field back into DSX strategy, and use it to help build roadmap, packaging, and positioning.

  • Set a high technical and editorial bar. Mentor TMEs and other contributors, use customer and partner feedback to prioritize tasks, and measure whether the content is actually helping people understand and adopt DSX.

What we need to see:

  • BS or MS in Computer Science, Engineering, Data Center Engineering, or another technical field, or equivalent experience.

  • 8+ years of experience in technical marketing engineering, developer relations, solutions architecture, systems engineering, infrastructure engineering, or a related technical role, including leadership of complex cross-functional programs.

  • Experience crafting the technical strategy and positioning for a platform or portfolio, turning that work into a content roadmap, and delivering it through several teams and channels.

  • Technical content work in AI infrastructure, cloud platforms, HPC, data center systems, enterprise platforms, simulation, or a closely related domain, with the ability to engage specialists across fields.

  • Strong written, verbal, and visual communication skills, with demonstrated experience in being able to explain a complex full-stack system to varied audiences while maintaining the important details and takeaways.

  • A record of influencing senior product leaders, engineers, marketers, field teams, and external technical leaders without direct authority.

  • Strong program leadership and editorial judgment, including roadmap management, launch planning, technical review, dependency management, content maintenance, and measurement.

  • Willing to travel occasionally for important customer, partner, industry, and internal meetings.

Ways to stand out from the crowd:

  • Direct experience with NVIDIA DSX or adjacent NVIDIA technologies and platforms, including DGX, HGX, DGX Cloud, Omniverse, BlueField and DOCA, NVIDIA AI Enterprise, or AI factory infrastructure software.

  • Experience leading the technical narrative for a major platform or infrastructure launch, including keynote moments, executive briefings, and industry conferences.

  • A track record of building a technical marketing, developer experience, or ecosystem program and establishing its operating model, quality bar, and measurable adoption impact.

  • Recognized technical leadership through open-source contributions, standards work, published content, conference presentations, industry communities, or sustained ecosystem engagement.

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/ 

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Similar Jobs

An Hour Ago
Remote or Hybrid
Michigan, USA
189K-291K Annually
Senior level
189K-291K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads a team of 3D artists and pipeline engineers delivering content and simulation framework engineering for autonomous vehicle simulation. Provides technical leadership, manages execution, assigns priorities, reviews deliverables and documentation, removes roadblocks, and collaborates cross-functionally. Responsibilities also include hiring, staffing, employee development, training, performance management, compensation planning, and communicating team strategy and organizational policies.
Top Skills: 3D ContentAutonomous Vehicle SimulationSimulation Frameworks
An Hour Ago
In-Office or Remote
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Manage full-cycle recruitment for GTM and other roles across regions, partnering with hiring managers to build talent pipelines and scale high-performing teams. Develop recruitment strategies, workforce plans, sourcing processes, candidate experiences, and employer branding initiatives. Coach hiring leaders, track hiring metrics, support compensation benchmarking and inclusive hiring, maintain ATS workflows, and represent Halter at talent events.
2 Hours Ago
Easy Apply
Remote
USA
Easy Apply
75K-85K Annually
Entry level
75K-85K Annually
Entry level
Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Own customer accounts across the Order-to-Cash lifecycle, including invoicing, collections, cash application, reconciliations, dispute resolution, and issue follow-up. Review aging reports, resolve payment discrepancies, maintain audit-ready records, support close activities, and communicate with customers and internal teams. The role also identifies root causes, improves processes and controls, and documents standard operating procedures while managing high-volume transactional work.
Top Skills: EdiExcelNetSuiteSalesforceVlookupVms Platforms

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account