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Model Converter Engineer Intern

Job in Irvine, Orange County, California, 92713, USA
Listing for: Syntiant Corp.
Apprenticeship/Internship position
Listed on 2026-06-05
Job specializations:
  • Engineering
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

Description:

Syntiant Corp., a leader in the high‑growth AI software and semiconductor solutions space, is looking for a Model Converter Engineer Intern to take on a critical role to enhance our Embedded Software team.

As a Model Converter Engineer Intern
, you will be responsible for developing solutions that meet the specific needs of the model converter projects.

Specific

Duties and Responsibilities:
  • Develop prototype to validate proof of concepts and build from there.
  • Enhance CI system for running end to end testing of model converter tool.
  • Work independently with minimal supervision.
Qualifications, Education, and Experience

Required:
  • Bachelor’s or Master’s student in Computer Science or Computer Engineering is required.
  • Relevant coursework on AI/ML concepts, optimization techniques, and data structures and algorithms.
  • Knowledge of Python, ML frameworks like Tensor Flow/Keras, PyTorch,

    C.
About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose‑built silicon and hardware‑agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra‑low‑power, high performance, deep neural network processors.

Syntiant also provides compute‑efficient software solutions with proprietary model architectures that enable world‑leading inference speed and minimized memory footprint across a broad range of processors.

More information on the company can be found by visiting

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