Ambiq Micro, Inc.

Ambiq Micro, Inc.

Principal Edge AI Firmware Engineer

Austin, Texas, United States · Principal

Work authorization requiredDetected 27 days ago
PythonGitMachine LearningTensorFlowEmbedded SystemsSignal ProcessingMedical DevicesResearch

About the role

  • If that's you, join us - the intelligence everywhere revolution starts here.
  • While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere-directly onto real-world devices.
  • Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity.

Responsibilities

  • Develop and support Ambiq's embedded AI runtimes (HeliaRT-our fork/extension of TensorFlow Lite for Microcontrollers-and HeliaAOT) with focus on portability, correctness, performance, and usability.
  • Implement and optimize ML operator kernels and embedded libraries for on-chip acceleration (DSP, vector, NPU), including HeliaDSP and HeliaCore components.
  • Build and maintain on-device profiling and performance analysis tools, including tools that convert PMU counters into actionable insights.
  • Drive improvements in latency, memory footprint, and energy (e.g., joules/inference) through compute/bandwidth and memory-hierarchy analysis.
  • Develop benchmark harnesses, microbenchmarks, and regression tests to ensure numerical correctness and prevent performance regressions.
  • publish and maintain customer-facing assets (docs, guides, examples, benchmarks).
  • Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling.
  • Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore.
  • We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
  • Ambiq is seeking an Edge AI Firmware Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI.

Requirements

  • Proficiency with Git (or equivalent version control).
  • Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.
  • BS in Electrical/Computer Engineering, Computer Science, or related field + 12+ years relevant experience (or equivalent practical experience). MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
  • Strong experience designing, developing, and testing embedded software in C/C++.
  • Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
  • Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
  • Ability to interpret hardware/software documentation (datasheets, reference manuals
  • schematics a plus).
  • Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.

Nice to have

  • Python for profiling/analysis tooling, automation, and developer utilities.
  • Rust experience.
  • Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).
  • Experience optimizing for embedded acceleration targets (e.g., DSP, vector extensions, NPU).
  • Familiarity with CMSIS-NN, CMSIS-DSP, and/or Vela (or similar).
  • Working knowledge of quantized inference (e.g., int8, per-channel) and embedded debugging implications.
  • Packaging/integration (e.g., CMSIS-Pack/CPM.cmake) and/or lab measurement experience (power/debug with basic bench tools).
  • Must be currently authorized to work in the United States for any employer.

Benefits

  • shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.
  • Improve memory planning/runtime efficiency and manage upstream/fork health
  • Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.

Company info

  • Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world's lowest-power semiconductor solutions.
  • We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.

Visa & Work Authorization

  • Must be currently authorized to work in the United States for any employer.
Apply directly at Ambiq Micro, Inc. →Create a free account for alerts like thisView Ambiq Micro, Inc. immigration profile

This listing is sourced directly from Ambiq Micro, Inc.'s careers page and normalized into a canonical job model.