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Remote Computer Science Music Jobs in New Jersey

Lead Data Engineer

Trenton, NJ ยท Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

Lead Data Engineer

Trenton, NJ ยท Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 41-60

Remote Computer Science Music information

What is a remote computer science music?

A Remote Computer Science Music job involves working at the intersection of music and computer science, typically from a location outside a traditional office. Professionals in this field might develop music software, create algorithms for music composition, analyze audio data, or build music recommendation systems. These jobs leverage programming, sound engineering, and machine learning skills to solve problems or create new experiences in the music industry. Working remotely allows individuals to collaborate with teams and clients from anywhere, using digital tools and platforms. This role is ideal for those passionate about both technology and music.

How do remote computer science professionals in music typically collaborate with composers, producers, and other team members?

Remote computer science professionals working in the music industry often rely on digital collaboration tools such as version control systems, cloud-based DAWs, and project management platforms to communicate and coordinate with composers, producers, and sound engineers. Regular virtual meetings and shared workspaces help ensure alignment on project goals, technical requirements, and creative direction. While asynchronous communication is common, establishing clear documentation and feedback channels is key to maintaining workflow efficiency and fostering a productive team environment.

What are the key skills and qualifications needed to thrive as a remote computer science music specialist, and why are they important?

To thrive as a Remote Computer Science Music Specialist, you need a solid background in computer science fundamentals, music theory, and digital audio production, often supported by a relevant degree or portfolio. Familiarity with programming languages (such as Python, C++, or Max/MSP), digital audio workstations (DAWs) like Ableton Live, and music technology tools is typically required. Creativity, strong communication, and the ability to collaborate virtually are standout soft skills for this role. These skills enable the integration of technology and music, fostering innovation and effective remote teamwork in a rapidly evolving field.

What is the difference between Remote Computer Science Music vs Remote Software Developer?

AspectRemote Computer Science MusicRemote Software Developer
Required CredentialsBachelor's in Computer Science or Music, coding certifications, music production skillsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentHome office, music studios, online collaboration platformsHome office, tech companies, online coding environments
Employer & Industry UsageMusic tech companies, educational platforms, multimedia firmsTech firms, startups, software development agencies
Common Search & Comparison IntentUnderstanding roles combining music and computer scienceComparing software development roles with similar skills

Remote Computer Science Music combines expertise in computer science with music production or technology, often in creative or multimedia industries. Remote Software Developer focuses solely on coding and software creation across various industries. While both roles require programming skills, Remote Computer Science Music emphasizes a blend of technical and artistic skills, whereas Remote Software Developer centers on software development tasks.

Can I work remotely with a computer science music degree?

Remote work opportunities for those with a computer science music degree are available in fields such as software development, digital audio workstations, and multimedia programming. Skills in programming languages, audio software, and remote collaboration tools are often required to succeed in remote roles in this area.

How is remote computer science used in music?

Remote computer science professionals in music develop software for digital audio workstations, music production, and sound analysis. They often work with programming languages like Python or C++ and utilize tools such as MIDI interfaces and audio processing libraries to create or improve music technology applications.

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

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

What cities in New Jersey are hiring for Remote Computer Science Music jobs?

Cities in New Jersey with the most Remote Computer Science Music job openings:

Infographic showing various Remote Computer Science Music job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ โ€ข Remote

Contractor

Posted 22 days ago


Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTErole.

Position Overview

Lead the transformation of the software engineering organization into anAI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across theProduct Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define theAI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterpriseAI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • DriveAI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures acrosscloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • EstablishAI governance, security, Responsible AI, validation, and regulatory compliancepractices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such asOpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ yearsof enterprise software engineering experience.
  • 8+ yearsleading enterprise architecture initiatives.
  • 5+ yearsleading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience inenterprise software modernization and DevSecOps at scale.
  • Strong understanding ofGenerative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementingGenAI solutions in enterprise environments.
  • Strongenterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI:GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering:Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data:Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks:LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type:C2C or W2. (Open to market rate)
  • Duration:6+ months with a high possibility of extension.
  • Location:REMOTE.
  • Interviews:Video interviews.
  • Docs required: ID proof will be required.