R&D Software Engineer – AI/ML & 5G Network Innovation

IS-Wireless Training

Piaseczno

On-site

PLN 180,000 - 250,000

Full time

14 days+

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Job summary

IS-Wireless Training in Poland seeks a researcher-engineer to develop disaggregated RAN, security/Zero Trust, and RRM algorithms, possibly using L1/L2/L3 emulators, with cloud-native Kubernetes. You will design and implement xApp/rApp applications for the ecosystem using RIC API and E2/R2 interfaces.

Additionally, you will deploy AI/ML-driven solutions for network optimization and collaborate on research that may lead to patents or papers, while integrating security measures such as TLS/PKI and

Qualifications

  • Strong Python prototyping and AI/ML skills; Java/C/C++ knowledge is a plus.
  • Solid understanding of 5G/6G architecture.
  • Experience with cloud-native environments: Kubernetes, CI/CD.
  • Fundamental security knowledge: Zero Trust, TLS/PKI, IPSec.
  • Ability to rapidly prototype and work with 3GPP specs/docs.
  • Excellent English communication.

Responsibilities

  • Implement and prototype algorithms for disaggregated RAN and RRM.
  • Design and implement xApp/rApp applications for the ecosystem using RIC API and E2/R2 interfaces.
  • Deploy AI/ML-driven solutions for network optimization.
  • Work with cloud-native technologies (Kubernetes) to deploy and scale network applications.
  • Collaborate on research projects that may lead to patent applications.
  • Integrate security solutions e.g. encryption (TLS/PKI, IPSec), Zero Trust architectures.

Skills

Python AI/ML
Java/C/C++
5G/6G knowledge
Kubernetes
CI/CD
Security fundamentals
English proficiency
3GPP docs
Rapid prototyping

Tools

RIC SDK
E2/R1 interface
MATLAB
ns-3
eCPRI
DPDK
eBPF
SmartNIC/GPU

Job description

IS-Wireless Training in Poland seeks a researcher-engineer to develop disaggregated RAN, security/Zero Trust, and RRM algorithms, possibly using L1/L2/L3 emulators, with cloud-native Kubernetes. You will design and implement xApp/rApp applications for the ecosystem using RIC API and E2/R2 interfaces.

Additionally, you will deploy AI/ML-driven solutions for network optimization and collaborate on research that may lead to patents or papers, while integrating security measures such as TLS/PKI and

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