PHY Software Engineer Intern - Real-Time C/C++, AI Tools

Parallel Wireless

West of England

Sur place

GBP 28 000 - 30 000

Plein temps

Il y a 11 jours

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Avantages offerts par ce poste

Annual leave 25 days (pro‑rata)
Birthday day off
Monthly team lunches
Private medical care
Medical/dental cash plan
Personal travel insurance
Cycle to work
5% employer pension
Flexible working hours

Résumé du poste

Parallel Wireless is seeking a talented and motivated intern to develop physical layer (PHY) software for 4G and 5G products. This 12-month internship is based in our Bristol office, in the centre of the city, joining a team of around 50 within a 500+ international R&D group.

You will gain hands-on experience in real-time C/C++ software on Linux, Docker, and Kubernetes, plus exposure to AI-assisted development and modern software tools, while contributing to end-to-end lab and cloud environments.

Qualifications

  • Strong C and/or C++ programming skills.
  • Experience with Python scripting.
  • Interest in AI-assisted software development.
  • Willingness to learn about wireless communications.

Responsabilités

  • Develop real-time PHY software features for 4G/5G products.
  • Integrate, test and validate features on servers, lab and AWS environments.
  • Build test scripts and debug tools as part of CI/CD and release pipelines.
  • Use AI coding agents to develop and debug PHY software and tools.
  • Work with lab equipment like UE simulators and Android devices.

Connaissances

C/C++
Python
AI-assisted development
Wireless understanding

Outils

Docker
Kubernetes

Description du poste

Parallel Wireless is seeking a talented and motivated intern to develop physical layer (PHY) software for 4G and 5G products. This 12-month internship is based in our Bristol office, in the centre of the city, joining a team of around 50 within a 500+ international R&D group.

You will gain hands-on experience in real-time C/C++ software on Linux, Docker, and Kubernetes, plus exposure to AI-assisted development and modern software tools, while contributing to end-to-end lab and cloud environments.

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