Edge AI Engineer — On-Device Audio & DSP Innovator

Bose; Framingham (MA); On-site; USD 141,000 - 194,000; Full time

Job summary

Bose Corporation in Framingham, Massachusetts seeks an Edge AI ML Engineer to develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML modeling, DSP, and embedded systems, turning research concepts into efficient, robust production-ready algorithms.

You will collaborate with ML researchers, firmware engineers, and hardware teams to design algorithms that perform well under real-world constraints such as

Qualifications

• Proven ability to develop and evaluate ML models for audio or time-series data.
• Experience optimizing models for edge devices.
• Strong embedded C/C++ programming skills.
• Python for model development and tooling.

Responsibilities

• Develop, optimize, and deploy ML models on edge devices.
• Collaborate with ML researchers, DSP, firmware, and hardware teams.
• Convert models to efficient embedded implementations and optimize runtime.

Skills

C/C++ for embedded systems

ML model development

Python for ML

Edge AI

Education

Master’s or Ph.D. in CS/EE/ML

Tools

MLIR

ExecuTorch

TinyML frameworks

Job description

Bose Corporation in Framingham, Massachusetts seeks an Edge AI ML Engineer to develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML modeling, DSP, and embedded systems, turning research concepts into efficient, robust production-ready algorithms.

You will collaborate with ML researchers, firmware engineers, and hardware teams to design algorithms that perform well under real-world constraints such as