DSP Engineer - Audio & Embedded Systems

Bose; Colorado; Remote; USD 98,000 - 134,000; Full time

Job summary

Bose Corporation is seeking a DSP Engineer to build and optimize audio technologies across products and platforms. You will develop and test DSP algorithms for audio, speech, and microphone applications, tackling noise reduction, voice pickup, and spatial audio challenges.

You will collaborate with cross-functional teams to ensure robust, portable, and efficient implementations on embedded, real-time systems, enabling superior listening experiences.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field with a focus on signal processing.
• 3+ years of experience in DSP, audio, or embedded systems development.
• Solid foundation in digital signal processing and its application to audio or speech.
• Hands-on experience developing algorithms for embedded or real-time systems.
• Experience programming in C, Python, and MATLAB for signal processing.

Responsibilities

• Build, implement, and test DSP algorithms for audio, speech, voice, and microphone array applications.
• Contribute to active noise reduction, voice pickup, spatial audio, and speech enhancement technologies.
• Integrate and validate signal processing algorithms on embedded, real-time systems.
• Collaborate with senior engineers and cross-functional teams to adapt algorithms across platforms.
• Evaluate and optimize algorithms for different hardware, software, and performance constraints.

Skills

DSP

Embedded systems

Python

C

MATLAB

Signal processing

Education

Bachelor's degree in Electrical Engineering or Computer Engineering

Tools

MATLAB

Job description

Bose Corporation is seeking a DSP Engineer to build and optimize audio technologies across products and platforms. You will develop and test DSP algorithms for audio, speech, and microphone applications, tackling noise reduction, voice pickup, and spatial audio challenges.

You will collaborate with cross-functional teams to ensure robust, portable, and efficient implementations on embedded, real-time systems, enabling superior listening experiences.