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Audio Dsp Software Engineer Jobs in California (NOW HIRING)

Audio Quality and Data Engineer

San Jose, CA · On-site

$84K - $109K/yr

Requirements * 5+ years of experience in audio quality, audio test, or audio DSP engineering ... Skilled at troubleshooting complex audio issues across hardware, software, and acoustic ...

Engineering Group, Engineering Group > Software Engineering General Summary: The Senior Staff Audio ... DSP & Algorithms: Knowledge of audio signal processing (sample rates, formats, mixing, post ...

Debug complex audio issues spanning hardware, drivers, and software layers. Conduct thorough code reviews and contribute to a culture of engineering excellence. Preferred Qualifications BS or MS in ...

Senior PHY-Algo Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

You will work closely with Digital Front-End design, verification, and embedded DSP software teams ... Bachelor's degree in Electrical Engineering, Computer Science, or a closely related field * Minimum ...

Audio Embedded Software Engineer

Cupertino, CA · On-site

$147.40 - $272.10/hr

Description As a Sr, Audio Embedded Software Engineer, you will have responsibilities spanning all aspects of product development: Collaborate with marketing and cross‑functional engineering teams ...

... Audio/DSP). About the job The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party ...

... software, and content. The role focuses on end-to-end product audio development--from proof-of ... Familiarity with typical DSP building blocks such as digital biquad filters, IIR, FIR, AGC, wide ...

Showing results 41-60

Audio Dsp Software Engineer information

See California salary details

$93.8K

$152.2K

$166.3K

How much do audio dsp software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for audio dsp software engineer in California is $152,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $164,800.00 per year, depending on experience, location, and employer.

What is an audio DSP software engineer?

An Audio DSP Software Engineer is responsible for designing, implementing, and optimizing digital signal processing (DSP) algorithms for audio applications. They work with technologies like filters, equalizers, reverbs, noise reduction, and compression to enhance sound quality in products such as audio processors, hearing aids, or music production software. This role typically requires proficiency in programming languages like C/C++, MATLAB, or Python, as well as a deep understanding of signal processing concepts.

What does an audio DSP software engineer do?

A typical day for an Audio DSP Software Engineer involves designing, coding, and testing audio algorithms, optimizing software performance on embedded hardware, and troubleshooting any signal processing issues. You’ll often participate in code reviews, work with product managers to align features with user needs, and coordinate closely with hardware engineers and QA teams to ensure seamless integration and high audio quality. Collaboration is key, as you may also interact with UI/UX designers and musicians to refine features. This diverse teamwork helps ensure that products meet both technical standards and user expectations, offering a dynamic and rewarding work environment.

What are the key skills and qualifications needed to thrive as an audio DSP software engineer?

To thrive as an Audio DSP Software Engineer, you need a solid background in digital signal processing, embedded software development, and proficiency in languages like C/C++ or MATLAB, usually supported by a relevant engineering degree. Familiarity with DSP hardware platforms, audio frameworks (such as VST or JUCE), and version control systems like Git is commonly required. Strong problem-solving skills, effective communication, and teamwork are essential soft skills for this role. These abilities are crucial to successfully design, implement, and collaborate on high-quality audio processing solutions in dynamic technical environments.

What are popular job titles related to Audio Dsp Software Engineer jobs in California?

For Audio Dsp Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Audio Dsp Software Engineer jobs in California look for?

The top searched job categories for Audio Dsp Software Engineer jobs in California are:

Infographic showing various Audio Dsp Software Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $152,205 per year, or $73.2 per hour.

Audio Quality and Data Engineer

Hark

San Jose, CA • On-site

$84K - $109K/yr

Full-time

Re-posted 10 days ago


Key responsibilities

  • Define and execute audio quality evaluation for Hark's voice AI conversation system, including end-to-end conversational metrics and component-level metrics.

  • Evaluate audio quality of consumer AI devices across the full signal chain and characterize telephony audio quality.

  • Design, build, and maintain an automated audio test system, and lead audio data collection programs to support evaluation and model training.


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
Voice is the primary interface between Hark's AI and the people who use it, so audio quality is a product requirement, not an afterthought. We are hiring an Audio Quality and Data Engineer to own the end-to-end measurement of how our voice AI sounds, listens, and behaves - from the microphone array on the device, through the speech enhancement front end, across telephony and network paths, and into the conversational model itself.
In this role, you will design test methodologies and metrics, build the automated test infrastructure that runs them, and lead the audio data collection efforts that feed both evaluation and model training. Your work will directly shape how customers experience our consumer AI devices and voice AI agents, and the quality bar you define will become the bar the rest of the company ships against.
Responsibilities
  • Define and execute audio quality evaluation for Hark's voice AI conversation system, including end-to-end conversational metrics (latency, barge-in behavior, turn-taking, intelligibility, naturalness) and component-level metrics for STT, TTS, and dialogue.
  • Evaluate audio quality of consumer AI devices across the full signal chain: acoustic echo cancellation (AEC), noise suppression (NS), beamforming, dereverberation, automatic gain control, and speech enhancement.
  • Characterize telephony audio quality - loudness, latency, jitter, packet loss resilience, codec behavior, double-talk performance, and compliance with ITU-T recommendations.
  • Design, build, and maintain an automated audio test system: instrumented test fixtures, playback/capture orchestration, signal generation, scoring pipelines, and CI integration for regression coverage.
  • Lead audio data collection programs: define recording protocols, acoustic conditions, device configurations, and speaker/language diversity targets; manage capture sessions and partner vendors; deliver labeled, structured datasets for both evaluation and model training.
  • Investigate audio quality regressions and field issues - reproduce in the lab, isolate root cause across hardware, DSP, network, and model layers, and partner with hardware, firmware, ML, and platform teams to drive fixes.
  • Establish the audio quality bar for product launches: write test plans, define pass/fail criteria, run pre-launch verification, and communicate results and risks to engineering and product leadership.

Requirements
  • 5+ years of experience in audio quality, audio test, or audio DSP engineering, ideally on consumer audio devices, voice communication systems, or voice AI products.
  • Strong background in digital signal processing and statistics, with hands-on understanding of AEC, noise reduction, beamforming, AGC, and speech enhancement algorithms.
  • Working knowledge of telecommunication and audio quality standards (ITU-T P-series and G-series, 3GPP, TIA), and the objective metrics built on them (POLQA, PESQ, STOI, DNSMOS, etc.).
  • Experience building automated audio test infrastructure in Python (or similar), including instrument control, signal generation/analysis, and scoring pipelines.
  • Hands-on experience with professional audio test equipments: Audio Precision, ACQUA, HATS, B&K / GRAS measurement microphones, artificial ears, R&S or equivalent RF/network test gear.
  • Demonstrated ownership of audio data collection: protocol design, session execution, dataset curation, and quality control.
  • Skilled at troubleshooting complex audio issues across hardware, software, and acoustic environments, and at communicating findings to cross-functional engineering teams.
  • B.S. in Electrical Engineering, Computer Engineering, or a related field; M.S. or Ph.D. preferred.

Bonus Qualifications
  • Experience evaluating LLM-based voice agents or full-duplex conversational systems (turn-taking, interruption handling, end-pointing, latency budgets).
  • Familiarity with ASR evaluation methodology - WER, robustness testing, regression criteria, and dataset construction for noisy/far-field conditions.
  • Contributions to industry standards bodies (ITU-T, 3GPP, IEEE) or published audio quality research.
  • Experience setting up an audio test lab from scratch - equipment selection, acoustic treatment, calibration procedures.
  • Familiarity with embedded audio platforms, Bluetooth audio stacks, or wearable/hearable form factors.
  • C/C++ proficiency for working close to the DSP or firmware layer.
  • Patents or publications in audio signal processing, echo cancellation, or speech enhancement.

Compensation
The US base salary range for this full-time position is between $250,000 - $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/benefits depending on the specific role. This information will be shared if an employment offer is extended.