Technical Marketing Engineer

DRIVENETS•Middletown Township, NJ

1d•Remote

About The Position

DRIVENETS is driving and leading the next generation networks with our solution. Founded to solve the “data explosion challenge,” our cutting-edge technology and solution have created a paradigm shift in the economy of networks. Through smart and high-performance bit processing on merchant silicon and commodity hardware, we enable new revenue opportunities and sustainable growth for our customers, even as Internet usage explodes. Our system is a cornerstone of this mission, and we are looking for a talented developer to take it to the next level. DRIVENETS is developing the next generation of AI infrastructure, from AI cluster backend networks to end-to-end projects combining networking hardware, software and full-stack optimization. We are looking for a highly professional Technical Marketing Engineer (TME), to dive into our technology, master our lab and produce high-quality technical marketing content for our AI-infrastructure marketing campaigns. This position plays a crucial role in translating our engineering know-how into marketing content. It requires a blend of deep networking technical expertise, hands-on capabilities, strong communication skills, and a passion for translating complex technical information into compelling marketing messages that resonate with target audiences.

Requirements

Deep networking know-how – preferably in the datacenter / AI domain - mandatory
Bachelor's degree in Computer Science, Engineering, or a related field - mandatory
AI Infrastructure, networking, cloud, datacenter background – a big plus
Excellent written and verbal communication, presentation, and interpersonal skills.
Proven ability to translate complex technical information into clear and concise marketing messages.

Nice To Haves

CCIE certification (or equivalent)
Experience benchmarking and analyzing networking solutions in an AI environment.
Deep understanding of with NVIDIA GPUs/systems, AMD GPUs/system, NICs, AI infrastructure architecture
Deep knowledge in datacenter and/or AI infrastructure network protocols, e.g., BGP, Cell-based fabrics, Clos fabrics, , VXLAN, etc.

Responsibilities

Collaborate with our research lab, engineering and delivery services to map technology, architecture, and deployment know-how.
Create high-quality content (reference designs, deployment and configuration guides, whitepapers, case studies, blog posts, demos etc.)
Support sales and channels in customers and partners' meetings.
Travel to support tradeshows, and customers and partners' events

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