- Employment
- Freelance
About the role
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 **Master's 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.
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 **Master's 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.
Perks & benefits
- Equity Compensation
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