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Embedded AI/ML Platform Integration Engineer – Contractor

VON Consulting SRL·Salary not specified

Primary stack

CPython

Job description

About the Position

Joining our team will have the opportunity to:

  • Work on AI platforms that ship in hundreds of millions of devices - automotive, industrial, IoT, and consumer
  • Collaborate with world-class silicon architects, compiler engineers, and AI researchers
  • Shape the Edge AI ecosystem at a company with 50+ years of semiconductor leadership
  • Influence open-source inference frameworks and industry standards from a position of silicon authority

Responsibilities

  • BSP integration of the AI/ML runtime: Integrate the accelerator runtime and inference libraries into the embedded Linux image.
  • Yocto/OpenEmbedded recipe development and maintenance: Author and maintain recipes, package groups, and layer configuration.
  • Cross-team and vendor coordination: Drive integration across the kernel/platform, silicon/BSP, runtime, and application teams; collaborate with silicon and runtime vendors, track release cadences, and file precise, reproducible defect reports that drive upstream fixes.
  • Cross-functional debugging: When an issue spans layers (e.g., a fault that could originate in a recipe, driver, or silicon), own the investigation, isolate the responsible layer, and hand each team an actionable, evidence-backed writeup.
  • Cross-platform enablement: Unify the runtime across multiple SoC/BSP targets, minimizing per platform forks in favor of a shared, modular layer.

Requirements

Must have:

  • 2+ years of hands-on experience with Yocto/OpenEmbedded (BitBake, layers, classes, packagegroups, etc.).
  • Strong C (kernel and native), plus shell and Python; comfortable with C++ runtime libraries.
  • Experience with AI/ML inference runtimes and accelerators (NPU/GPU).
  • Strong understanding of multi-core application SoCs: CPU clusters, interconnect/NoC fabric, memory map and address decoding, clocks/resets/power domains, and cache coherency.
  • Hands-on accelerator and peripheral bring-up and debugging, with proven experience debugging the full host-to-accelerator data path (NPU/GPU/DSP).
  • Hardware and board debugging: serial console, dmesg, gdb, and Lauterbach

We Offer

  • Competitive compensation package
  • Opportunity to work with cutting-edge AI/ML technologies
  • Collaborative and innovative work environment

About the Company

Our company has 50+ years of semiconductor leadership and is at the forefront of shaping the Edge AI ecosystem.

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