Demo Engineering: Architect and build high-performance software demos from early-stage product snapshots and cutting-edge SDKs. You will 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. You will 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 our 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.
What We Need to See
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. You are 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 from the crowd:
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.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!
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 June 1, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Additional Information
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.
We are bringing artificial intelligence to live media. We are seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop media pipelines, and evangelize artificial intelligence for live media. If you're interested in this TME role, we'd like to hear from you!
Nvidia · Santa Clara, CA