Technical Co-Founder AI for NetworkingTelecommunication (5G6G)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
Tasks
- 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.
- 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).
- Adjust aforementioned customized implementations for different networking protocols (e.g. IPv6 Ethernet TSN HTTP etc).
- Help to design scalable scheduling orchestration and dynamic resource allocation algorithms required to integrate aforementioned distributed AI implementations in various network settings.
- Lead the technical validation and prototyping with early adopters.
- Collaborate on grant writing product roadmap and tech strategy.
- Hire and mentor future engineers and researchers as the team grows.
Requirements
- Based in Germany with a valid Niederlassungserlaubnis or German citizenship.
- A Masters or PhD in Computer Science Electrical Engineering or related fields in telecommunication and networking.
- Strong understanding of the 5G/6G stack system hierarchy from radio access to packet processing.
- Experience with energy efficiency sustainability high-throughput and other impactful design techniques and goals.
- Experience with distributed computing and orchestration techniques in the edge-to-cloud network settings.
- Proven ability to build systems end-to-end: from prototype to deployable demo.
- Fluent in English; German is a bonus.
- A basic background in the following fields:
Machine Learning:
- Structure of DNNs LLMs or other AI models for embedded / edge devices.
- Quantization pruning knowledge distillation or other optimization techniques for ML.
Hardware Design:
- Design and synthesis of AI accelerators for FPGAs or custom ASICs.
- Circuit-level optimization High-Level Synthesis (HLS) or RTL design experience.
Benefits
Non-paid job at the moment equity share at the time of founding the company is considered.
Key Skills
- Data Analytics
- AI
- Conversion Optimization
- Lean
- R
- Regression Analysis
- Acquisition Strategy
- HubSpot
- Email Marketing
- Product Management
- Knife Skills
- Internet Of Things
