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Audio Software Developer Jobs in Ontario (NOW HIRING)

Adamson Systems Engineering

... audio products. This role plays a critical part in ensuring reliable system performance, seamless hardware-software integration, and high-quality user experiences across our product portfolio. Key ...

ONIT Energy/ Canadian Water Savings

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Senior AI Developer/ Full Stack

Toronto, ON · On-site

CA$115K - CA$130K/yr

Work on voice AI workflows spanning telephony, audio streaming, STT, TTS, turn-taking, and response ... Key Qualifications, All Must-Haves * 7+ years of software development experience, including ...

L3HHCM20

Training Courseware Developer

Dundas, ON

CA$67K - CA$117K/yr

Training Courseware Developer (L3) Reference #37737 Waterdown, Ontario About L3HARRIS WESCAM As a ... Expertise in the use of video and audio editing software. * Excellent organizational skills * Good ...

MBR Partners

Staff Engineer

Toronto, ON

$150K/yr

We are currently hiring for our clients scale up of a software business. This is a senior ... It's not a typical backend interacting with a UI frontend, handling audio streams in real-time ...

MBR Partners

Staff Engineer

Toronto, ON

$150K/yr

We are currently hiring for our clients scale up of a software business. This is a senior ... It's not a typical backend interacting with a UI frontend, handling audio streams in real-time ...

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All JobsAudio Software Developer JobsAudio Software Developer Jobs in Ontario

Audio Software Developer information

See Ontario salary details

$30.5K

$108.7K

$168K

How much do audio software developer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for audio software developer in Ontario is $108,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is an Audio Software Developer job?

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 in the Audio Software Developer position, and why are they important?

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 Ontario? For Audio Software Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Audio Software Developer jobs in Ontario look for? The top searched job categories for Audio Software Developer jobs in Ontario are:
Audio Software Developer jobs near you
Infographic showing various Audio Software Developer job openings in Ontario as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, 4% Temporary, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $108,670 per year, or $52.2 per hour.
Sr. Software Development Engineer in Test

Sr. Software Development Engineer in Test

Dialpad

Kitchener, ON

Other

Posted 24 days ago

Job description

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad's AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad's Canadian offices and reports to a QA Eng Manager in the United States.

What you'll do

  • Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
  • Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
  • Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
  • Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
  • Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
  • Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
  • Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
  • Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
  • Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
  • Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
  • Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
  • Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you'll bring

  • 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
  • Strong programming skills in Python (preferred), Java, or JavaScript.
  • Experience testing distributed, cloud-native SaaS systems and APIs.
  • Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
  • Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
  • Understanding of non-deterministic systems and probabilistic testing approaches.
  • Experience building test frameworks and scalable automation systems.
  • Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
  • Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
  • Strong collaboration skills with the ability to work across distributed teams and time zones.
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
  • Frontend: Vue3, React.
  • AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Apply