Audio DSP Engineer

Global Connect Technologies; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Global Connect Technologies seeks an experienced Audio DSP Engineer for its IVI audio team supporting next‑gen EV platforms. You will design, tune, and validate real‑time audio signal processing, including voice, echo cancellation, and noise reduction, on embedded Linux systems.

Ideal candidates have hands‑on expertise in AEC, RES, VAD, beamforming, and microphone array processing, and will collaborate with cross‑functional teams to ensure high‑quality automotive audio performance.

Qualifications

• Bachelor's or Master's in Electrical Engineering or related field.
• Strong experience in Audio DSP development and speech signal processing.
• Hands-on experience with AEC, RES, VAD, AGC, MVDR beamforming.
• Proficient in real-time embedded Linux audio architectures (ALSA).

Responsibilities

• Design, develop, optimize, and maintain the IVI audio software stack for automotive platforms.
• Develop voice communication and speech processing solutions, including Echo Cancellation and Noise Reduction.
• Implement real-time audio DSP algorithms for embedded systems.
• Develop playback and post-processing pipelines: mixing, routing, EQ, gain control, filtering, SRC.
• Integrate microphone array processing (beamforming, DoA) techniques.
• Collaborate with hardware and software teams for system performance.
• Work with QA/validation to test, tune, and validate audio systems.
• Support acoustic measurements, audio tuning, and objective evaluations.

Skills

Audio DSP development

C/C++ programming

Python

MATLAB

Real-time embedded systems

Linux ALSA

Voice processing

Beamforming

Echo Cancellation

Wind Noise Reduction

Direction of Arrival

Speech Enhancement

Education

Bachelor's or Master's in Electrical Engineering

Tools

AWE (DSP Concepts)

ALSA

MATLAB

Job description

We are seeking an experienced Audio DSP Engineer to join our In-Vehicle Infotainment (IVI) audio development team supporting next-generation electric vehicle platforms. This role focuses on the design, development, integration, tuning, and validation of real-time audio signal processing solutions, including voice communication, echo cancellation, noise reduction, and audio post-processing technologies.

The ideal candidate will possess strong expertise in audio DSP algorithms, embedded Linux audio systems, and real-time software development using C/C++. Experience with automotive audio systems, microphone array processing, and voice enhancement technologies is highly preferred.

Key Responsibilities

• Design, develop, optimize, and maintain the IVI audio software stack for automotive platforms.
• Develop and integrate voice communication and speech processing solutions, including Echo Cancellation and Noise Reduction technologies.
• Implement and optimize audio DSP algorithms for real-time embedded systems.
• Develop audio playback and post-processing pipelines including mixing, routing, equalization, gain control, filtering, and sample rate conversion.
• Integrate microphone array processing technologies such as beamforming and Direction of Arrival (DoA) estimation.
• Collaborate with hardware, system integration, and software teams to ensure seamless audio system performance.
• Work closely with QA and validation teams to perform testing, debugging, tuning, and system validation.
• Support acoustic measurements, audio tuning, and objective performance evaluations.
• Analyze and resolve real-time audio performance, latency, and quality issues.

Required Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Signal Processing, or related field.
• Strong experience in Audio DSP development and speech signal processing.
• Hands-on experience with:
• Acoustic Echo Cancellation (AEC)
• Residual Echo Suppression (RES)
• Voice Activity Detection (VAD)
• Automatic Gain Control (AGC)
• Beamforming (MVDR or similar)
• Wind Noise Reduction
• Direction of Arrival (DoA)
• Speech Enhancement
• Experience with traditional DSP algorithms, statistical signal processing, and ML/AI-based speech enhancement solutions.
• Strong knowledge of audio post-processing:
• Audio Mixing and Routing
• Gain/Volume Control
• Mute/Ducking
• Sample Rate Conversion
• Strong understanding of Linux audio architecture, particularly ALSA.
• Proficiency in C/C++ programming for real-time embedded systems.
• Experience with Python and MATLAB for algorithm development and validation.

Preferred Qualifications

• Experience commercializing voice communication and voice recognition features.
• Hands-on experience with DSP Concepts Audio Weaver (AWE).
• Familiarity with embedded Linux audio frameworks and production software deployment.
• Experience with acoustic tuning and validation tools such as:
• HEAD Acoustics
• HATS (Head and Torso Simulator)
• Experience with Deep Learning, Neural Networks, and Hybrid DSP + ML audio solutions.

Technical Skills

• Programming: C, C++, Python, MATLAB
• Embedded Systems: Linux, Real-Time Audio Processing