Embedded AI Engineer, On-Device Models

Deepgram · USA | Remote

Deepgram is hiring a Embedded AI Engineer, On-Device Models in USA | Remote. The role focuses on operating systems & kernel, embedded & firmware, compilers & runtimes, databases & storage, graphics, gpu & compute, low-latency & performance.

Key responsibilities

• Write and optimize performance-critical runtime code (C, C++, and/or Rust) for embedded environments, including bare-metal and real-time operating systems such as FreeRTOS and Zephyr.
• You'll work across the stack: optimizing and compiling models for on-device inference, writing performance-critical runtime code, and squeezing every last millisecond and milliwatt out of a wide range of mobile application processors, embedded SoCs, microcontrollers, and dedicated AI accelerators.
• Build the on-device runtime plumbing: model packaging, deployment pipelines, over-the-air update mechanisms, and lightweight telemetry for devices operating with limited or intermittent connectivity.

Source and corrections

NearMetal classified and summarized this role from an official company source.