Technical Marketing Engineer

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 building next-generation generative AI systems that create high-quality images, video, 3D, and multimodal media at scale. Our mission is to transform how media content is imagined, generated, edited, and deployed across industries. We are seeking a Technical Marketing Engineer (TME) to lead complex, cross-functional programs spanning research, engineering, product, infrastructure, and release teams, evaluate use cases and marketing content. This role operates at the intersection of frontier generative modeling (diffusion models, multimodal LLMs, video generation), large-scale training systems, and production-grade media deployment. You will drive end-to-end progress — from early-stage research achievements through model release and product integration — ensuring technical rigor, alignment, and operational excellence. If you're interested in a TME role, we'd like to hear from you! What you'll be doing: Lead and manage large-scale GenAI initiatives across research, engineering, product, and infrastructure, evaluate use cases and marketing content Translate ambitious research goals into structured execution roadmaps with clear milestones including GTM Define program plans and evaluate marketing content across data pipelines, model training, evaluation, safety validation, and release Partner with research scientists, ML engineers, systems engineers, product managers, and applied teams Facilitate technical decision-making across trade-offs (model quality vs. scale, cost, latency, and reliability) Manage complex model training cycles and infrastructure dependencies Identify and mitigate technical risks early (scalability constraints, data quality issues, inference costs, evaluation gaps) Provide executive-level program updates and clear status reporting Lead model release readiness across validation, benchmarking, safety, compliance, and documentation Establish repeatable processes for rapid iteration without compromising reliability or quality What we need to see: Bachelor’s degree from a leading university or equivalent experience 8+ years of experience managing complex technical programs in AI/ML or large-scale systems Proven ability to operate effectively in ambiguous, research-heavy environments Track record of delivering cross-functional initiatives on time and at high quality Ability to reason about trade-offs between model performance, compute cost, scalability, and product requirements Strong structured thinking and problem decomposition skills Solid grasp of contemporary generative AI systems (diffusion, multimodal LLMs, video/image creation) Familiarity with distributed training and large-scale inference systems Experience working closely with ML research teams Ways to stand out from the crowd: Excellent written and verbal communication and collaboration skills to work with world-class teams Comfortable presenting to senior leadership High ownership mindset and bias toward clarity and execution 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 s ... (truncated, view full listing at source)