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Internship Audio Signal Processing Jobs in California

Solid foundation in audio signal processing concepts and how they intersect with ML pipelines * Experience collaborating with DSP, firmware, and hardware engineers on resource-constrained systems ...

Digital Design Engineer

San Diego, CA · On-site

$190K - $240K/yr

Develop low-power audio signal processing architectures. Qualifications, Education, and Experience Required: * Advanced Degree in electronic engineering or related field. * 8+ years of proven track ...

Digital Design Engineer

San Diego, CA · On-site

$190K - $240K/yr

Develop low-power audio signal processing architectures. Qualifications, Education, and Experience Required: * Advanced Degree in electronic engineering or related field. * 8+ years of proven track ...

Digital Design Engineer

San Diego, CA · On-site

$190K - $240K/yr

Develop low-power audio signal processing architectures. Qualifications, Education, and Experience Required: * Advanced Degree in electronic engineering or related field. * 8+ years of proven track ...

The ideal candidate brings strong background in audio system design, acoustic simulation, and digital signal processing (DSP), and will partner closely with cross-functional teams to drive innovation ...

Knowledge of audio signal processing (sample rates, formats, mixing, post-processing effects) and DSP architecture (Hexagon/Qualcomm DSP experience is a plus). * Interfaces: Experience with standard ...

Strong foundations in acoustics and audio signal processing. Familiarity with objective/subjective methods for evaluating audio technologies and proficiency with data analysis. Proficiency in high ...

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

Research, design, and implement solutions using advanced signal processing. algorithms and cutting edge ML models with application to speech and audio. * Develop production-grade inference algorithms ...

Deep experience with real-time audio systems: low-latency signal processing, mixer graphs, and hardware I/O. Experience designing and shipping system-level APIs. BS or MS in Computer Science ...

Successfully integrate audio hardware with signal processing, VAD, DOA, noise suppression, and machine learning pipelines * Establish validation methodologies and performance metrics that support ...

Showing results 21-40

Internship Audio Signal Processing information

What is the difference between Internship Audio Signal Processing vs Audio Signal Processing Engineer?

AspectInternship Audio Signal ProcessingAudio Signal Processing Engineer
CredentialsEnrolled in or recent graduate of relevant degreeBachelor's or higher in Electrical Engineering, Audio Engineering, or related field
Work EnvironmentInternship programs, entry-level projects, academic settingsProfessional labs, R&D departments, industry companies
ResponsibilitiesAssisting with signal processing tasks, learning, supporting projectsDesigning, developing, and optimizing audio processing algorithms
Industry UsageEducational, training, entry-level industry rolesFull-time professional roles in audio technology companies

In summary, Internship Audio Signal Processing is an entry-level position focused on learning and supporting audio signal processing tasks, often within educational or training programs. In contrast, an Audio Signal Processing Engineer is a full-time professional responsible for designing and implementing advanced audio algorithms in industry settings.

What are popular job titles related to Internship Audio Signal Processing jobs in California?

For Internship Audio Signal Processing jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Internship Audio Signal Processing jobs?

Cities in California with the most Internship Audio Signal Processing job openings:

Infographic showing various Internship Audio Signal Processing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Lead Audio ML Engineer

Hark

San Jose, CA • On-site

$120K/yr

Full-time

Re-posted 24 days ago


Job description

About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
We are looking for an Lead Audio ML Engineer to implement, train, and ship audio models that run on-device across our consumer products. This role spans the full lifecycle of on-device audio intelligence: model design, training, evaluation, and deployment to constrained hardware. You will work alongside our DSP, firmware, and product teams to turn audio model research into production features that ship at scale.
Responsibilities
  • Implement and train audio models for wake-word detection, voice activity detection, source separation, speech enhancement and similar audio
  • Take models from research prototype to on-device deployment within latency, memory, and power budgets
  • Build and maintain training data pipelines, evaluation harnesses, and re-training cadence across model families
  • Partner with DSP and firmware engineers to integrate models into the Hark Audio Engine and DSP runtime
  • Collaborate with hardware and acoustics teams to characterize the signal conditions models must operate under
  • Profile and optimize models on target platforms (DSP, NPU, CPU) and define accuracy and resource budgets per product

Requirements
  • 3+ years of professional experience building and shipping audio or speech ML models
  • Strong fluency in PyTorch or TensorFlow and modern audio deep learning toolchains
  • Hands-on experience deploying models to embedded targets such as DSP, NPU, or mobile NPU and CPU
  • Comfort working across the full ML lifecycle: data, training, evaluation, deployment, and monitoring
  • Solid foundation in audio signal processing concepts and how they intersect with ML pipelines
  • Experience collaborating with DSP, firmware, and hardware engineers on resource-constrained systems

Bonus Qualifications
  • Background shipping voice-first or far-field audio products
  • Experience with on-device wake-word, ASR front-ends, or speech enhancement at production scale
  • Familiarity with model compression techniques such as quantization, pruning, and distillation
  • Familiarity with Qualcomm AI stacks or similar alternatives from other providers
  • Open-source contributions to audio ML projects

Compensation
The US base salary range for this full-time position is between $120,000 and $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.