Edge AI Development Engineer & Researcher

Ambiq; Austin (TX); On-site; USD 95,000 - 165,000; Full time

Job summary

A leading semiconductor company is seeking an Edge AI Development Engineer & Researcher in Austin, Texas. This role focuses on developing low-power intelligent devices using advanced machine learning and deep learning techniques. Ideal candidates will have experience with cutting-edge compression methods and a background in computer science. The position offers a collaborative environment dedicated to innovation and energy efficiency.

Qualifications

• Must refine and develop ML and DL models for constrained environments.
• Train models using compression techniques for specific power envelopes.
• Publish maintained models in a Model Zoo for customer use.

Responsibilities

• Identify and develop sophisticated ML and DL models.
• Train models using SOTA compression techniques.
• Socialize achievements via conferences and publications.

Skills

Experience with SOTA pruning

Experience with audio classification

Tensorflow know-how

Dataset creation

Education

Bachelor's degree in computer science

Job description

Join to apply for the Edge AI Development Engineer & Researcher role at Ambiq

Join to apply for the Edge AI Development Engineer & Researcher role at Ambiq

Company Overview

Ambiq's mission is to develop the lowest-power semiconductor solutions to enable intelligent devices everywhere by developing the lowest-power semiconductor solutions to drive a more energy-efficient, sustainable, and data-driven world. Ambiq has helped leading manufacturers worldwide develop products that last weeks on a single charge (rather than days), while delivering a maximum feature set in compact industrial designs. Ambiq's goal is to take Artificial Intelligence (AI) where it has never gone before in mobile and portable devices, using Ambiq's advanced ultra-low power system on chip (SoC) solutions. Ambiq has shipped more than 230 million units as of October 2023. For more information, visit www.ambiq.com.

Job Type

Full-time

Description

Company Overview

Ambiq's mission is to develop the lowest-power semiconductor solutions to enable intelligent devices everywhere by developing the lowest-power semiconductor solutions to drive a more energy-efficient, sustainable, and data-driven world. Ambiq has helped leading manufacturers worldwide develop products that last weeks on a single charge (rather than days), while delivering a maximum feature set in compact industrial designs. Ambiq's goal is to take Artificial Intelligence (AI) where it has never gone before in mobile and portable devices, using Ambiq's advanced ultra-low power system on chip (SoC) solutions. Ambiq has shipped more than 230 million units as of October 2023. For more information, visit www.ambiq.com.

Our innovative and fast-moving teams of research, development, production, marketing, sales, and operations are spread across several continents, including the US (Austin and San Jose), Taiwan (Hsinchu), China (Shenzhen and Shanghai), Japan (Tokyo), and Singapore. We value continued technology innovation, fanatical attention to customer needs, collaborative decision-making, and enthusiasm for 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 for growth and opportunities to work on complex, engaging, and challenging projects that will create a lasting impact. Join us on our quest for 100 billion devices. The endpoint intelligence revolution starts here.

This role can be in San Diego, CA or Austin, Texas.

The expectation is that the candidate will be required to maintain a regular in-office presence five days per week.

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.
  
  

Salary Description

95,000-165,000

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Semiconductor Manufacturing

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