Ambiq Micro, Inc.

Ambiq Micro, Inc.

Principal Edge AI Firmware Engineer

Austin, Texas, United States · Principal

Work authorization requiredDetected 56 days ago
PythonCGitMachine LearningTensorFlowEmbedded SystemsSignal ProcessingMedical DevicesResearch

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

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Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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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.

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).

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.

Skills

  • Company Overview
  • Collaborate.
  • Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity.

Benefits

  • Improve memory planning/runtime efficiency and manage upstream/fork health

Company info

  • We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
  • At Ambiq, we live by five values: Innovate.

Visa & Work Authorization

  • Must be currently authorized to work in the United States for any employer.
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