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Nvidia Technical Marketing Engineer 
United States, California 
583631786

24.06.2024
What you will be doing:
  • Deeply understand application space and build inspiring demos, reference applications, and developer onboarding assets such as blogs, white papers, technical presentations.
  • Perform competitive analysis on alternative technologies and provide key product feedback.
  • Drive development of cutting-edge techniques in deep learning, graphs, and AI agents including model fine tuning and customization efforts that will be beneficial to the developer ecosystem.
  • Work directly with key customers to understand the current and future problems they are solving and provide the best solutions using GPUs.
  • Collaborate closely with the architecture, research, libraries, tools, and system software engineering teams at NVIDIA.
  • Work closely with the product marketing and product management teams on defining a go-to-market and developer engagement strategy
  • Travel is required for conferences and for on-site visits with developers.
What we need to see:
  • M.S. or PhD degree in Computer Science or related discipline or equivalent experience.
  • 5+ overall years of relevant job experience
  • Hands-on engineering experience in AI, Machine Learning, Deep Learning, Cloud native technologies, Linux system software development, and web tools like Gradio.
  • Proven track record to create technical marketing assets in a dynamic environment and passion to think creatively and innovatively to showcase pioneering technologies.
  • Knowledge of Apache Kafka, Apache Spark, Redis, Cassandra, ElasticSearch
  • Strong programming skills in Python, C/C++.
  • Strong communication, presentation and organization skills, with a logical approach to problem solving, good project management, and task prioritization skills.
Ways to stand out from the crowd:
  • Strong experience with one or more NVIDIA Technologies and SDKs
  • Experience with vision AI models, Vision-Language Models for image/video understanding.
  • Involvement in open source or GitHub communities and experience with foundation models or sensor processing with AI.
  • Building cloud native solutions and services for large enterprises or industrial applications.

You will also be eligible for equity and .