Embedded AI Engineer

1 week ago

Austin, Texas, United States Ambiq Full time
About Ambiq

Ambiq is a leading developer of ultra-low power semiconductor solutions that enable intelligent devices everywhere. Our mission is to drive a more energy-efficient, sustainable, and data-driven world by developing innovative AI solutions for battery-powered environments.

Job Overview

We are seeking a highly skilled Embedded AI Developer/Data Scientist to join our Endpoint AI team. As a key member of our team, you will be responsible for developing and deploying sophisticated ML and DL models for deployment on highly constrained environments.

Key Responsibilities
  • Identify, refine, and/or develop sophisticated ML and DL models for deployment on highly constrained environments.
  • Train models using state-of-the-art compression techniques to fit in specific memory, compute, and power envelopes, making trade-offs between compression and accuracy.
  • Publish and maintain these models in a Model Zoo, including documentation and other assets needed by our customers to bootstrap their internal AI features.
  • Socialize their achievements via conferences, meetups, workshops, and publications.
Requirements
  • Experience with state-of-the-art pruning, distillation, and quantization approaches for CNNs and RNNs.
  • Experience with one or more of the following AI task domains: audio classification, speech, vision, and/or time series tasks, including domain-specific feature extraction related to those tasks.
  • Tensorflow (TFLite, TFLite for Microcontrollers, and/or PyTorch) experience is a plus.
  • Dataset creation and curation skills.
Bonus Qualifications
  • Past involvement or experience in TinyML.
  • Experience developing and optimizing for TFLite for Microcontrollers.
  • Experience with embedded C/C++ environments.
  • Experience with compression of attention-based architectures.
  • Experience with model-to-binary compilers (IREE, MicroTVM, etc).
  • Experience with ONNX, TOSA, Jax, LLVM, and/or MLIR.
  • Experience with optimizing for heterogeneous AI compute (e.g. CPU+NPU+DSP).
Education and Experience
  • A bachelor's degree in computer science or a related field is required with at least 2 years of relevant experience. A master's degree or PhD in related topics is highly desirable.
Salary Description

$95,000-$165,000

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