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Syntiant

Edge AI processors and scalable models

Senior Software Engineer - Machine Learning, Audio

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA$160k - $240k

About the Job

Requirements

  • A bachelor's degree in Computer Science or Engineering, or equivalent experience.
  • At least 3 years of experience developing and deploying machine learning models for audio applications.
  • Strong experience with C++ and Python.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Experience working in large, complex codebases.
  • Experience with Embedded Linux.
  • U.S. citizenship is required.

Responsibilities

  • Own and train audio models to run on edge devices.
  • Ensure models run to specification and meet customer needs.
  • Apply machine learning in real-world applications for edge AI devices.

Desired Qualifications

  • Active security clearance or eligibility to obtain one is preferred.

About the Company

Syntiant

Edge AI processors and scalable models

Syntiant creates edge AI hardware and software that run deep learning models on-device in power-limited products. Its Neural Decision Processors and scalable neural models are designed to operate in compute-constrained environments and can run on a wide range of hardware—from the smallest MCUs to large GPUs—without relying on cloud servers. This lets devices like smart home gear, cars, personal devices, and industrial products perform intelligent tasks locally, saving battery power and reducing cloud costs. Syntiant differentiates itself by offering hardware-agnostic, scalable ML models that deliver much higher efficiency and throughput for edge inference across diverse platforms. The company’s goal is to enable practical on-device AI across multiple industries, improving user experience while lowering energy usage and cloud dependence.

Company size
201-500
Company stage
Late Stage VC
Total funding
$120.1M
Headquarters
Irvine, CA
Founded
2017

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