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Audio Software Engineer Remote Jobs in Irving, TX

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Sr. Software Engineer

Dallas, TX · Remote

$170K - $220K/yr

Job Title: Senior Software Engineer - Cloud Infrastructure / Network Automation Industry: Cloud ... Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

Senior Software Engineer

Dallas, TX · Remote

$145K - $165K/yr

Remote REPORTS TO: Lead Software Engineer KEY RELATIONSHIPS AND TEAM: The Senior Software Engineer reports to the Lead Engineer and sits within the Dev Team, working closely alongside the product ...

Be Seen First

Strong Python programming ability. * Advanced ear training and polyphonic music-transcription ... audio-analysis and notation software. No specific tool is mandatory if your experience is ...

Be Seen First

Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly Asynchronous We are seeking software engineers in a remote capacity to fill code review and evaluation ...

New

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... etc.) using software such as CYME, ETAP, EasyPower, SKM.- Experience with substation and ...

Remote: Candidates must be able to work on EST hours. * Preferred: Candidates willing to work ... Senior-level Software Engineer/Developer experience. * Strong, hands-on Java development experience.

Substation Physical Engineer - REMOTE

Dallas, TX · Remote

$97K - $124K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Familiarity with Agi32 illumination software To learn more about this team and how our grid ...

Showing results 21-40

Audio Software Engineer Remote information

See Irving, TX salary details

$61K

$141.7K

$197.3K

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

As of Sep 4, 2026, the average yearly pay for audio software engineer remote in Irving, TX is $141,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $166,100.00 per year, depending on experience, location, and employer.

What is an audio software engineer?

An Audio Software Engineer (Remote) is a technology professional who specializes in designing, developing, and maintaining software related to audio processing, such as digital audio workstations, plugins, or sound synthesis tools, while working from a remote location. Their work often involves programming in languages like C++, Python, or JavaScript, and using audio frameworks such as JUCE or Core Audio. They collaborate with other engineers, sound designers, and product managers to create high-quality audio experiences for users. Remote audio software engineers leverage online communication tools to coordinate with teams across different locations.

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

To thrive as an Audio Software Engineer (Remote), you need a solid background in computer science, digital signal processing (DSP), and audio programming, often supported by a relevant degree and experience in C++ or similar languages. Familiarity with audio development frameworks (such as JUCE or VST), version control systems (e.g., Git), and sometimes certifications in audio engineering or software development are typically expected. Excellent problem-solving, communication, and self-management skills are essential for effective collaboration and productivity in a remote setting. Mastery of these technical and soft skills is crucial to deliver high-quality audio applications, meet project goals, and work efficiently as part of a distributed team.

How does an audio software engineer typically collaborate with cross-functional teams in a remote setting?

As a remote Audio Software Engineer, you’ll frequently collaborate with product managers, UX designers, and QA testers, often through virtual meetings and project management tools. Clear communication is essential, as you'll need to discuss technical requirements, share progress updates, and resolve integration challenges with other engineers. Regular code reviews, documentation, and participation in sprint planning are common to ensure everyone stays aligned. This collaborative approach not only drives innovation in audio features but also helps maintain a cohesive and efficient workflow, even when working remotely.

What are the most commonly searched types of Audio Software Engineer jobs in Irving, TX?

The most popular types of Audio Software Engineer jobs in Irving, TX are:

What are popular job titles related to Audio Software Engineer Remote jobs in Irving, TX?

For Audio Software Engineer Remote jobs in Irving, TX, the most frequently searched job titles are:

What cities near Irving, TX are hiring for Audio Software Engineer Remote jobs?

Cities near Irving, TX with the most Audio Software Engineer Remote job openings:

Infographic showing various Audio Software Engineer Remote job openings in Irving, TX as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $141,659 per year, or $68.1 per hour.

RL Environment Engineer - Remote

YO AI Labs

Dallas, TX • Remote

$80 - $120/hr

Full-time

Posted 7 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.