Hybrid P4 Offload Infra Intern: Low-Level Networking

Kalray

Montbonnot-Saint-Martin

Remote

EUR 8,900 - 13,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work
Meal vouchers
Team building activities

Job summary

Kalray invites an engineering student for a 6-month internship to help develop a P4 offload infrastructure on a high-performance network card. You will work across low-level C, embedded firmware, and Linux kernel interfaces to translate P4 descriptions into card-executable processes.

The project spans the toolchain, embedded execution, and host configuration, with hands-on experience in compilation, hardware interactions, and performance measurements in throughput and latency.

Qualifications

  • C language proficiency and strong debugging skills.
  • Basic knowledge of C++ and interest in toolchains.
  • Familiarity with processor architecture and memory management.
  • Experience with Linux debugging and software/hardware interface concepts.
  • Comfortable using English in technical contexts.

Responsibilities

  • Contribute to defining the P4 execution model on the target and mapping program elements to hardware resources.
  • Participate in defining P4 features and hardware constraints for the target.
  • Help develop a compilation backend to translate IR to code for the custom processor.
  • Assist in implementing table/action lookup, memory resource management, and host-card interfaces.
  • Support firmware integration and end-to-end tests, including performance measurements.

Skills

C programming
Low-level programming
C++ basics
Linux debugging
English in tech context

Education

Engineering student

Job description

Kalray invites an engineering student for a 6-month internship to help develop a P4 offload infrastructure on a high-performance network card. You will work across low-level C, embedded firmware, and Linux kernel interfaces to translate P4 descriptions into card-executable processes.

The project spans the toolchain, embedded execution, and host configuration, with hands-on experience in compilation, hardware interactions, and performance measurements in throughput and latency.

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