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Music Software Developer Jobs in Utah (NOW HIRING)

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

Music is much more than listening... it's about creating, sharing, discovering, participating, and ... The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

Since 2008, Smule has been transforming music from a passive listening experience into a ... Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve ...

Smule, Inc

Director of Engineering

Salt Lake City, UT · On-site

Since 2008, Smule has been transforming music from a passive listening experience into a ... Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

Since 2008, Smule has been transforming music from a passive listening experience into a ... Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve ...

Austintexas

$65K - $81K/yr

Mitigates sound level issues with outdoor music venues. * Evaluates and recommends layouts ... Skill in using computers and related software applications. * Skill in data analysis and problem ...

All JobsMusic Software Developer JobsMusic Software Developer Jobs in Utah

Music Software Developer information

See Utah salary details

$43.7K

$101.8K

$151.1K

How much do music software developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for music software developer in Utah is $101,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $118,300.00 per year, depending on experience, location, and employer.

What is a music software developer?

A Music Software Developer designs, develops, and maintains software applications for music creation, production, editing, or analysis. They work with digital audio workstations (DAWs), plugins, virtual instruments, and other music-related software. This role requires programming skills in languages like C++, Python, or JavaScript, along with knowledge of audio processing and music theory. Developers may collaborate with musicians, sound engineers, and other tech professionals to create tools that enhance music production.

What are the typical day-to-day responsibilities of a music software developer?

As a Music Software Developer, your daily tasks often include coding and testing features for audio applications or plugins, debugging issues, and collaborating with sound designers, musicians, or other developers to refine product functionality. You may participate in team meetings to discuss new features, review design documents, or contribute to the user interface and user experience elements. Regularly updating documentation, staying current with new music technology trends, and providing technical support or consultation to end-users are also common. This role offers a dynamic mix of technical challenges and creative collaboration, making each workday both varied and engaging.

What are the key skills and qualifications needed to thrive as a music software developer, and why are they important?

To excel as a Music Software Developer, you need expertise in programming languages such as C++, Java, or Python, combined with a strong understanding of digital signal processing, audio engineering, and software design principles. Familiarity with audio frameworks (like JUCE, VST, or Core Audio), version control systems, and sometimes Agile development or relevant industry certifications is highly valuable. Creative problem-solving, strong communication, and the ability to collaborate with both technical and musical professionals set outstanding candidates apart. These skills are vital for building innovative, high-quality music technology solutions that meet user needs in a fast-evolving industry.

What does a music software developer do?

A music software developer designs, codes, and tests software applications used for music production, editing, and playback. They often work with digital audio workstations (DAWs), audio plugins, and MIDI technology, requiring skills in programming languages like C++ or Java. Their work supports musicians, producers, and audio engineers in creating and manipulating sound.

What are popular job titles related to Music Software Developer jobs in Utah?

For Music Software Developer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Music Software Developer jobs in Utah look for?

The top searched job categories for Music Software Developer jobs in Utah are:

Music Software Developer jobs near you
Infographic showing various Music Software Developer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,821 per year, or $49 per hour.

Internship - Machine Learning Engineer

Salt Lake City, UT • On-site

Smule, Inc
11 - 50 employees
Learn more about Smule, Incexternal

Full-time

Re-posted 26 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening... it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.
About the Role:
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.
We strongly encourage candidates with non-traditional backgrounds to apply. If your path into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you.
What You'll Be Doing:
  • Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
  • Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
  • Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
  • Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
  • Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.

What We're Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with deep learning serving (TorchServe, Triton, vLLM, or equivalent).
  • Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring.
  • Ability to reason about tradeoffs between latency, throughput, cost, and model quality.

Bonus Points For:
  • Experience serving large language models or other generative models at scale.
  • Familiarity with audio/music processing pipelines and real-time inference constraints.
  • Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
  • Contributions to open-source ML infrastructure projects.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

Apply