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ARM Principal Technical Lead / Engineering Manager 
France, Provence-Alpes-Côte d'Azur, Valbonne 
240411993

31.03.2025


Responsibilities:


Are you are looking for a unique opportunity to build and lead a successful firmware team transforming computing IoT landscape? We would like to hear from you!

  • You will provide technical expertise and leadership to the team, including leading and line managing a distributed firmware team.You will drive the team to accomplish its goals and continuously improve performance.
  • You will analyse industry specs, roadmap requirements, break down tasks, and help implement project plans.
  • You will collaborate closely with open source communities, technology managers, and IP development teams to deliver roadmap commitments.
  • You will be actively involved in software design and creation of software stacks for Arm’s reference platforms, and lead development practices for best-in-class software efficiency, quality, and predictability.


Required Skills and Experience :

  • You have experience and skills for people management, including recruiting, managing talent, team building, and developing team members.
  • You have a strong background in C (or a similar language) programming, with proven skills in optimising software performance, including application efficiency, workload management, and compiler optimisation.
  • You possess expertise in Linux development (OS fundamentals, device drivers and kernel modules), and a good understanding of computer architecture and microarchitecture concepts, ideally for the Arm architecture.
  • You have experience across the full software lifecycle, from concept to delivery and maintenance. You’re familiar with Agile development, CI, and automated testing.
  • You have experience collaborating with and contributing to open-source projects such as Linux distributions, the Linux kernel, AOSP, TF-A, TF-M, UEFI EDK II, U-Boot, or Xen/pKVM.


“Nice To Have” Skills and Experience :

  • Experience with the Yocto project
  • Exposure to AI / ML software stacks, and tooling
  • Familiarity with container platforms such as Podman or Docker.
  • Exposure to Linux multimedia frameworks (gstreamer, V4L/V4L2, ALSA)
  • Experience with Security Development Lifecycle (SDL) practices