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Edge AI Development Engineer & Researcher

Austin, Texas, United States

Company Overview 

Ambiq's mission is to enable intelligence everywhere by delivering the lowest power semiconductor solutions. Ambiq is a pioneer and a leading provider of ultra-low-power semiconductor solutions based on our proprietary and patented sub- and near-threshold technologies. With the increasing power requirements of artificial intelligence (AI) computing, our customers are relying on our solutions to deliver AI to edge environments. Our hardware and software innovations fundamentally deliver a multi-fold improvement in power consumption over traditional semiconductor designs without expensive process geometry scaling. We began in 2010 by addressing the power consumption challenges of battery-powered devices at the edge, where they were most pronounced. As of the beginning of 2025, we've shipped more than 280+ million units worldwide. 

Our innovative and fast-moving teams of design, research, development, production, marketing, sales, and operations are spread across several continents, including the US (Austin), Taiwan (Hsinchu), China (Shanghai and Shenzhen), and Singapore. We value relentless technology innovation, a deep commitment to customer success, collaborative problem-solving, and an enthusiastic pursuit of energy efficiency. We embrace candidates who also share these same values. The successful candidate must be self-motivated, creative, and comfortable learning and driving exciting new technologies. We encourage and nurture an environment that fosters growth and opportunities to work on complex, meaningful, and challenging projects, creating a lasting impact and shaping the future of technology. Join us on our quest for enabling billions of intelligent devices. The intelligence everywhere revolution starts here. 

This role will be on-site 5 days a week in NW Austin.

Scope

At Ambiq, the Endpoint AI team enables state-of-the-art ML and DL model development across our hardware portfolio, using sophisticated model compression techniques to deploy previously impractical AI tasks to battery-powered environments. Our team of data scientists research neural architectures best suited to our customer’s needs, select those models most amenable to deployment on our platform, and train them carefully tuning for memory, compute, and energy constraint tradeoffs. Finally, we publish our findings to our Model Zoo and socialize them via conferences, workshops, and publications.


Beyond a healthy obsession with computational efficiency, the successful candidate will be comfortable with operating in a ‘version zero’ environment, marshaling internal, open source, and third-party resources to solve our customer’s problems quickly and elegantly.

Requirements

  • Identify, refine, and/or develop sophisticated ML and DL models for deployment on highly constrained environments.
  • Train models using SOTA 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.

Required Skills/Abilities

  • Experience with SOTA pruning, distillation, 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 are a plus)
  • Dataset creation and curation

Bonus Qualifications

  • Past “TinyML” involvement or experience
  • 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 heterogenous 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.

What You Need 

We're seeking passionate technologists who thrive on pushing boundaries, solving complex challenges, and driving transformative solutions. 

At Ambiq, you'll collaborate with a dynamic team that values relentless innovation, customer-centric thinking, and continuous learning. If you're a self-motivated, creative problem-solver eager to push technological limits and make a meaningful impact in energy efficiency, this is your opportunity to grow, excel, and turn groundbreaking ideas into reality. 

Most importantly, the successful candidate will be able to live the Ambiq Shared Values: 

  • Innovate: We tenaciously find ways to break down the barriers to possible solutions 
  • Collaborate: We proactively communicate and encourage each other to be better. 
  • Focus: We keep the voice of the customer at the center of everything we do. 
  • Learn: We strive for continuous improvement and are always curious. 
  • Achieve: We execute on quality and follow through on our commitments. 

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