NVIDIA Logo

NVIDIA

Senior Technical Marketing Engineer - DSX Content Strategy Lead

Posted 11 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

Yesterday
Remote
United States
125K-150K Annually
Senior level
125K-150K Annually
Senior level
Beauty • Robotics • Design • Appliances • Manufacturing
Own global compensation cycle administration, system configuration, benchmarking, job architecture, salary structures, pay reporting, equity support, and compensation analysis across the Americas, EMEA, and APAC. Partner with HR, recruiting, payroll, legal, finance, and managers on offers, promotions, pay equity, and transparency requirements. Improve compensation operations through AI and automation, maintain data integrity, and deliver training and communications on compensation programs.
Top Skills: Artificial IntelligenceAutomationBusiness IntelligenceFidelity PswGoogle SheetsMercerExcelOracle HcmPaveRadford
Yesterday
Remote
United States
116K-155K Annually
Senior level
116K-155K Annually
Senior level
Beauty • Robotics • Design • Appliances • Manufacturing
Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.
Top Skills: AirflowAmazon S3DagsterDbt CloudGitJinjaPythonRest ApisSftpSnowflakeSQL
Yesterday
Easy Apply
Remote
United States
Easy Apply
168K-238K Annually
Senior level
168K-238K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account