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Audio Software Engineer Remote Jobs in California

Fuku

Software Engineer

San Francisco, CA · On-site +1

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

This is a remote position. We are seeking a talented Software Engineer to join our engineering team and help design, build, and support modern, scalable software solutions. This role is ideal for a ...

Eluvio

Senior Software Engineer - Video

Berkeley, CA · On-site +1

$150K - $197K/yr

... to remote work as well. Responsibilities * As part of the core software development team ... Help maintain the audio/video pipeline software including routine bug fixes and development of ...

Bluon

Collaborate with our local and remote developer team * Help document our app * Perform routine software maintenance Skills Knowledge and Expertise * Strong skills in React.js or similar modern ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

Employee divides their time between in-office and remote work. Access to an office location is ... software engineering experience building production services or applications using OO languages ...

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

We are seeking a talented Software Engineer to join our engineering team and help design, build ... REMOTE Benefits 401(k) Parental leave Health insurance Paid time off Employee discount Vision ...

Gnostech LLC

Software Engineer III

San Diego, CA · On-site +1

$125K - $175K/yr

Hybrid or remote work is not authorized Job Title * Software Engineer III Salary * $125,000 - $175,000 Shift * N/A Travel * Yes, may involve several Contiguous United States (CONUS)/Outside ...

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Audio Software Engineer Remote information

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 California?

The most popular types of Audio Software Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Audio Software Engineer Remote jobs?

Cities in California with the most Audio Software Engineer Remote job openings:

Audio Software Engineer Remote jobs near you
Infographic showing various Audio Software Engineer Remote 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.

Software Engineer

Dreams 2 Reality Recruitment

Mountain View, CA • Remote

$80 - $100/hr

Other

Posted yesterday

New

Job description

Engagement: Project-Based
Location: Remote — U.S.
Commitment: 20 hours/week
Compensation: $80–$100/hour

About the Role

We are looking for an experienced Software Engineer with expertise in reinforcement learning, AI evaluation, or coding agents to help build next-generation software engineering environments and benchmarks.

You will design realistic, challenging coding tasks that require AI models to work through complex software repositories, debug issues, implement features, refactor code, and reason across multiple steps. Unlike simple coding exercises, these environments are designed to evaluate sustained software engineering ability in realistic development workflows.

This is a hands-on, project-based opportunity for an experienced engineer who enjoys working at the intersection of software engineering, reinforcement learning, AI agents, and evaluation.

What You’ll Do

  • Design and develop long-horizon coding tasks that require multi-step reasoning and implementation across real codebases
  • Build reinforcement learning environments and software engineering task suites for AI models
  • Create robust tests, graders, and evaluation frameworks to reliably measure task completion and code quality
  • Develop challenging scenarios involving debugging, feature development, refactoring, testing, and repository-level reasoning
  • Create realistic tasks that require AI agents to understand and modify unfamiliar codebases
  • Analyze model performance and evaluation results to identify weaknesses and opportunities for improvement
  • Iteratively improve task difficulty, quality, diversity, reliability, and resistance to shortcut solutions
  • Apply strong software engineering judgment to ensure tasks reflect realistic development practices

Required Qualifications

  • 8 years of professional software engineering experience
  • Hands-on experience designing or developing reinforcement learning tasks, coding evaluations, AI benchmarks, or agentic coding environments
  • Experience working extensively in complex production codebases
  • Strong skills in software testing, debugging, architecture, and code quality
  • Familiarity with modern reinforcement learning concepts and iterative model improvement workflows
  • Ability to design realistic, measurable engineering tasks that are resistant to shortcut solutions
  • Strong ability to understand unfamiliar repositories and identify meaningful engineering challenges
  • Excellent written and technical communication skills
  • Availability to contribute 20 hours per week

Preferred Qualifications

  • Experience building long-horizon coding evaluations, benchmarks, or AI agent tasks
  • Experience with DeepSWE-style coding evaluations or similar repository-level software engineering benchmarks
  • Background developing evaluation infrastructure for AI coding agents or software engineering models
  • Experience with reinforcement learning training or evaluation platforms such as Mercor, Handshake AI, Turing, or Micro1
  • Experience analyzing AI model performance and using evaluation results to improve training or task design

Why Join

This is an opportunity to work on challenging problems at the intersection of software engineering, reinforcement learning, and artificial intelligence.

Your work will directly contribute to the environments, evaluations, and benchmarks used to measure and improve AI systems#39; ability to perform complex, real-world software engineering tasks.

Apply