Technical Co-Founder AI for NetworkingTelecommunication (5G6G)
Technical Co-Founder AI for NetworkingTelecommunication (5G6G)
Posted on :
04-10-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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.
Employment Type
Freelance
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
