ZipRecruiter

Log In

1

Audio Software Developer Jobs in Austin, TX (NOW HIRING)

Roku

Lead Systems Software Architect

Austin, TX

We are looking for a highly skilled Lead Systems Software Architect who leads complex ... Multimedia & system-level engineering * Implement and optimize video/audio pipelines, codecs, and ...

Roku

Software Engineer, Embedded Agentic AI

Austin, TX

$130K - $171K/yr

... durable, scalable software solutions. * Partner closely with engineering, product, QA, ... Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and ...

Ambiq Micro, Inc.

Software Architect

Austin, TX · On-site

The candidate must have strong experience in embedded software programming on ARM Cortex-M ... Experience with Graphics, Display and Audio/Video processing in embedded systems preferred. * The ...

Roku

Lead Systems Software Architect

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are looking for a highly skilled Lead Systems Software Architect who leads complex ... Multimedia & system-level engineering * Implement and optimize video/audio pipelines, codecs, and ...

Ambiq Micro, Inc.

Software Architect

Austin, TX · On-site

The candidate must have strong experience in embedded software programming on ARM Cortex-M ... Experience with Graphics, Display and Audio/Video processing in embedded systems preferred. * The ...

previous pagenext page

Showing results 21-40

All JobsAudio Software Developer JobsAudio Software Developer Jobs in Austin, TX

Audio Software Developer information

See Austin, TX salary details

$47.6K

$110.9K

$164.5K

How much do audio software developer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for audio software developer in Austin, TX is $110,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $128,900.00 per year, depending on experience, location, and employer.

What is an audio software developer?

An Audio Software Developer designs, develops, and maintains software related to audio processing, recording, editing, synthesis, and playback. They work with programming languages like C++, Python, or Swift and use audio frameworks such as JUCE, Core Audio, or FMOD. Their responsibilities may include creating digital audio workstations (DAWs), plugins, virtual instruments, or real-time processing algorithms. They often collaborate with sound designers, musicians, and other engineers to ensure high-quality audio experiences.

What are the typical daily responsibilities of an audio software developer?

As an Audio Software Developer, your daily responsibilities often include designing, coding, and optimizing audio processing algorithms, building user interfaces for audio applications, and troubleshooting software bugs. You may collaborate closely with audio engineers, product designers, and QA testers to ensure the software meets both functional and creative requirements. Regular tasks can also involve participating in code reviews, documenting technical processes, and staying updated on the latest audio technology trends. This collaborative environment offers continuous opportunities to learn and innovate within the field.

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

To thrive as an Audio Software Developer, you need a strong background in computer science, digital signal processing, and audio engineering, typically supported by a relevant degree or proven industry experience. Familiarity with programming languages such as C++, Python, or Java, and experience using audio frameworks like JUCE or VST SDK, are highly valuable, and certifications in audio technology can further enhance your qualifications. Creative problem-solving, teamwork, and effective communication are important soft skills that help you succeed in collaborative and fast-evolving environments. These skills are crucial for developing robust, innovative audio software solutions while working closely with multidisciplinary teams.

What are popular job titles related to Audio Software Developer jobs in Austin, TX?

For Audio Software Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Audio Software Developer jobs in Austin, TX look for?

The top searched job categories for Audio Software Developer jobs in Austin, TX are:

Audio Software Developer jobs near you
Infographic showing various Audio Software Developer job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $110,862 per year, or $53.3 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Austin, TX • On-site

$160 - $260/hr

Other

Re-posted 3 hours ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

#J-18808-Ljbffr

Apply