NVIDIA

Technical Marketing Engineer

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $168,000 - $310,500 per year

Job Level

SeniorLead

Tech Stack

CloudDockerKubernetes

About the role

  • Be hands-on at lab with test equipment, remote radio units and UEs and integrate 5G OTA system and RAN-in-Cloud Platform.\n
  • Be technical bridge of our customers/partners and Nvidia engineering team and developer relationship managers.\n
  • Partner with our engineering and development teams working on groundbreaking AERIAL, AODT and NVIDIA SDK technologies and drive our internal validation and benchmarking of RAN and AI-RAN.\n
  • Partner with our developer relationship managers and account team to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.\n
  • Document what you know and guide others. This can vary from building targeted training for partners, other TMEs, Solutions Architects and other internal team members, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.\n
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.\n
  • Communicate the external user experience feedback with the internal teams to improve AERIAL, and AODT SDKs.\n
  • We make heavy use of conferencing tools, but some travel is required for this role.\n
  • Be empowered to find the best way to get your job done and highly accountable to accomplish the mission.\n
  • Keen to make our internal partners and customers successful.

Requirements

  • MS or PhD in Electrical Engineering, Signal processing, Mathematics, Physics, Computer Science, or Telecommunications (or equivalent experience).\n
  • 8+ years of work-related industry experience in system engineering, software development.\n
  • Domain expertise in 5G and vRAN with understanding of hardware and software in a wireless industry.\n
  • Experience working with pioneering application deployment practices including but not limited to Docker/Containers and Kubernetes.\n
  • Experience with Deep Learning software architecture and frameworks.\n
  • Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.\n
  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.\n
  • Ability to work as an individual contributor or take a technical leadership role.\n
  • Strong analytical and problem-solving skills.