Computer Networking Products

GREEN-DNN

Looking for a telecommunication/networking expert to help us implement the inference of AI models on programmable network nodes in different 5G/6G network settings: The workload for the target AI application will need to be distributed on a group of networking nodes (e.g., switches, SmartNICs, base stations), having heterogeneous hardware architecture.
<h2>Tasks</h2>
<ul>
<li>Define the industrial constraints on B5G/6G KPIs, such as latency, resource footprint, bandwidth, and for different types of evolutionized networks related to RAN, WAN, LAN, MEC, etc.</li>
<li>Help to realize the customized implementation of AI models on a distributed group of heterogeneous hardware of telecommunication devices (e.g., switches, SmartNICs, base stations).</li>
<li>Adjust aforementioned customized implementations for different networking protocols (e.g., IPv6, Ethernet, TSN, HTTP, etc).</li>
<li>Help to design scalable scheduling, orchestration, and dynamic resource allocation algorithms, required to integrate aforementioned distributed AI implementations in various network settings.</li>
<li>Lead the technical validation and prototyping with early adopters.</li>
<li>Collaborate on grant writing, product roadmap, and tech strategy.</li>
<li>Hire and mentor future engineers and researchers as the team grows.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Based in Germany, with a valid Niederlassungserlaubnis or German citizenship.</li>
<li>A Master's or PhD in Computer Science, Electrical Engineering, or related fields in telecommunication and networking.</li>
<li>Strong understanding of the 5G/6G stack system hierarchy, from radio access to packet processing.</li>
<li>Experience with energy efficiency, sustainability, high-throughput, and other impactful design techniques and goals.</li>
<li>Experience with distributed computing and orchestration techniques in the edge-to-cloud network settings.</li>
<li>Proven ability to build systems end-to-end: from prototype to deployable demo.</li>
<li>Fluent in English; German is a bonus.</li>
<li>A basic background in the following fields**:**</li>
</ul>
Machine Learning:
<ul>
<li>Structure of DNNs, LLMs, or other AI models for embedded / edge devices.</li>
<li>Quantization, pruning, knowledge distillation, or other optimization techniques for ML.</li>
</ul>
Hardware Design:
<ul>
<li>Design and synthesis of AI accelerators for FPGAs or custom ASICs.</li>
<li>Circuit-level optimization, High-Level Synthesis (HLS), or RTL design experience.</li>
</ul>
<h2>Benefits</h2>
Non-paid job at the moment, equity share at the time of founding the company is considered.

Technical Co-Founder: AI for Networking/Telecommunication (5G/6G)

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