Technical Marketing Engineer

About the Role

NVIDIA is bringing artificial intelligence to live media and is seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop media pipelines, and evangelize artificial intelligence for live media.

What You'll Be Doing

• Demo Engineering: Architect and build high-performance software demos from early-stage product snapshots and cutting-edge SDKs. Transform abstract technical capabilities into concrete, repeatable, and visually stunning workflows.
• Pipeline Development: Develop and maintain end-to-end media pipelines—from ingest to inference to output—utilizing NVIDIA's stack (AI for Media, Holoscan for Media, Blueprints, NIMs, SDKs and NMOS Containers).
• Technical Evangelism: Travel to 6–10 industry tradeshows annually. Set up complex demo rigs, present technical deep-dives to multi-level audiences, and field challenging architectural questions from industry leaders.
• Continuous Innovation: Partner with product management to identify feature gaps or performance bottlenecks, providing actionable feedback that influences the product roadmap.
• Onsite Collaboration: Engage daily with product management and core engineering teams at HQ. This is an onsite role (minimum 4 days/week) to ensure you are deeply integrated with the development cycle and hardware resources.

Requirements

• Bachelor's degree from a leading university or equivalent experience
• 8+ years of media industry experience, specifically broadcast or content creation
• Technical Proficiency: Strong Linux command-line mastery. Comfortable debugging build issues, managing containers, and navigating complex environments.
• AI & Accelerated Computing: Proven experience with the NVIDIA stack (e.g. CUDA, TensorRT, Rivermax). Experience deploying AI models (LLMs, VLMs, audio enhancement, or generative AI) in production environments.
• Media Pipeline Fluency: Deep understanding of professional media workflows (content creation, virtual production, broadcast, post-production, or real-time graphics). Familiarity with standards like SMPTE ST 2110, RTP, or standard production formats (ProRes, EXR, etc.) is a significant plus.
• Critical Problem-Solving: Ability to determine and solve root cause engineering problems.
• Communication: Ability to distill complex technical architecture into clear, persuasive narratives for both technical and non-technical stakeholders. Comfortable presenting to senior leadership, with a high ownership mindset and bias toward clarity and execution.

Ways to Stand Out

• Strong AI interest and experience
• Excellent written and verbal communication and collaboration skills to work with world-class teams
• Background in developing software for live production, virtual production, or VFX pipelines
• Proficiency in Python and C++ for rapid prototyping and performance tuning
• Demonstrable experience managing trade show technical environments (rack setups, hardware troubleshooting, on-site networking)