ZipRecruiter

Log In

1

Computer Science Music Jobs in California (NOW HIRING)

Chartmetric

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

Collaborate with Data Scientists to transform raw music data into actionable insights that drive ... Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience

Tangramcare

Developer Extraordinaire

Carlsbad, CA · On-site

Requirements: * BS/BA or greater in Computer Science, Software Engineering, * Mathematics, Music or a related field * A history of academic and professional success * No "involved" contractors, only ...

Tangramcare

Developer Extraordinaire

Carlsbad, CA

Requirements: BS/BA or greater in Computer Science, Software Engineering, Mathematics, Music or a related field A history of academic and professional success No "involved" contractors, only ...

Twitch

Data Scientist

San Francisco, CA · On-site

... music, sports, cooking, and more. It is where thousands of communities come together for whatever ... OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in ...

Qualcomm

Staff Embedded Audio Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

... voice & music, wearable, and automotive products. As a member of the Audio Software global ... OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of ...

previous page

Showing results 41-60

All JobsComputer Science Music JobsComputer Science Music Jobs in California

Computer Science Music information

See California salary details

$36K

$64.6K

$119.9K

How much do computer science music jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science music in California is $64,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $68,600.00 per year, depending on experience, location, and employer.

What is a computer science music?

A Computer Science Music job blends technology and music, focusing on areas like music software development, audio signal processing, AI-generated music, and sound engineering. Professionals in this field may work on digital audio workstations (DAWs), music recommendation algorithms, or interactive sound systems. Roles can include software engineer for music applications, machine learning researcher for sound analysis, or game audio developer. This interdisciplinary field requires knowledge of programming, digital signal processing, and music theory.

What does a computer science music professional do?

Professionals in Computer Science Music often develop and test software for music production, create digital instruments, design sound algorithms, or integrate audio features into various platforms. They collaborate closely with musicians, sound designers, and other technical team members to prototype new tools or solutions. Regular responsibilities may also include debugging code, optimizing audio engines, and staying updated on advancements in digital sound technologies. Working in this field offers a blend of creative and technical tasks, making it a dynamic and rewarding environment.

What are the key skills and qualifications needed to thrive in computer science music?

To excel in Computer Science Music roles, candidates need a solid foundation in computer programming, digital audio processing, and music theory, often supported by a degree in computer science, music technology, or a similar field. Experience with digital audio workstations (DAWs), audio programming languages like Max/MSP or Pure Data, and familiarity with music software development environments are highly valuable. Creativity, strong problem-solving skills, and effective communication are key soft skills for innovating and collaborating within interdisciplinary teams. These competencies are important for successfully creating music technology tools, developing audio software, or pushing the boundaries in the intersection of music and technology.

How is computer science used in music?

Computer science in music involves developing algorithms and software for music composition, production, and analysis. It includes using digital audio workstations, programming languages like Python or Max/MSP, and machine learning techniques to create, modify, and understand musical data. These skills are essential for roles such as music technologists, audio engineers, and software developers in the music industry.

What are the most commonly searched types of Computer Science Music jobs in California?

The most popular types of Computer Science Music jobs in California are:

What are popular job titles related to Computer Science Music jobs in California?

For Computer Science Music jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Music jobs in California look for?

The top searched job categories for Computer Science Music jobs in California are:

What cities in California are hiring for Computer Science Music jobs?

Cities in California with the most Computer Science Music job openings:

Computer Science Music jobs near you
Infographic showing various Computer Science Music job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $64,613 per year, or $31.1 per hour.

Senior Data Engineer

Chartmetric

San Mateo, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision

Re-posted 21 days ago

Job description

About Chartmetric
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, Sony, Warner, and Apple Music, as well as hundreds of other music companies and industry professionals. Our team has created a self-service data dashboard for the music industry to better understand the activity happening around artists. Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our beautifully designed tool in order to make sense of the increasingly complex landscape of the music industry.
What you'll do
  • Build and optimize ETL pipelines processing data for 10M+ artists, 100M+ tracks, 15M+ playlists, and comprehensive music industry metrics
  • Design scalable data ingestion systems to integrate emerging streaming platforms and social media services into our analytics infrastructure
  • Architect and maintain our multi-cloud data ecosystem spanning AWS RDS, Elasticsearch, Clickhouse, and Snowflake
  • Develop production-ready Python applications and complex PostgreSQL queries deployed across distributed systems
  • Collaborate with Data Scientists to transform raw music data into actionable insights that drive strategic decisions for artists, labels, and industry professionals
  • This position is hybrid and will be in office 3/4 times a week in our San Mateo or New York office

Who You Are
  • 6+ years of hands-on experience building production data systems, preferably in high-volume consumer or entertainment industries
  • Expert-level proficiency in Python, PostgreSQL, Apache Airflow, Clickhouse, Snowflake, Elasticsearch, Apache Spark, and AWS ecosystem
  • Proven track record of designing fault-tolerant, high-throughput data pipelines handling millions of records daily
  • Strong communication skills with ability to translate complex technical concepts to cross-functional stakeholders
  • Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience
  • Thrives in dynamic startup environments with rapidly evolving requirements and tight delivery timelines
  • Bonus: Experience with music industry data, streaming APIs, or social media analytics platforms

What We Offer
  • Competitive salary and equity package
  • Comprehensive health, dental, and vision insurance
  • Opportunity to shape developer experience across the organization
  • Access to cutting-edge tools and technologies

Team Culture
  • We believe that great developer experiences lead to better products and happier teams. Our DevOps/DX team operates as enablers and force multipliers, working collaboratively to remove friction from the development process. We value automation, measurement, and continuous improvement, always asking "how can we make this better for our developers?"

The pay range for this role is:
140,000 - 160,000 USD per year (New York)
140,000 - 160,000 USD per year (San Mateo)

Apply