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Remote Audio Programmer Jobs in Edison, NJ (NOW HIRING)

Audio ML Engineer II

New York, NY ยท Remote

$160K - $210K/yr

We are seeking an Audio ML Engineer II to build, tune, and deploy state-of-the-art audio deepfake ... Remote Fridays * Happy Hours and other local events Compensation Range: $160K - $210K

Staff ML Engineer (Audio)

New York, NY ยท Remote

$185K - $235K/yr

Reality Defender Wins RSA Most Innovative Startup Staff ML Engineer (Audio) We are seeking a Staff ... Remote Fridays * Happy Hours and other local events Compensation Range: $185K - $235K

Staff AI Engineer (Audio)

New York, NY ยท Remote

$185K - $235K/yr

Reality Defender Wins RSA Most Innovative Startup Staff AI Engineer (Audio) We are seeking a Staff ... Remote Fridays * Happy Hours and other local events Compensation Range: $185K - $235K

Remote Operations Technician

New York, NY ยท Remote

$28.75 - $32.17/hr

Additionally, you will be trained to operate our satellite truck and A/V equipment we use in field engineering. The Remote Operations Technician should have a strong understanding of fast-paced, live ...

... Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are ... Remote - US THE ROLE: We're looking for a Fullstack Product Engineer to join a small, fast-moving ...

Solutions Engineer

Manhattan, NY ยท Remote

$90K - $140K/yr

... audio, and video) into concrete business cases * Present to C-suite and hands-on analysts in the ... Remote-first, unlimited PTO, 401k, FSA

AI/ ML Engineer

New York, NY ยท Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Experience with multi-modal models (text, image, audio) * Background in NLP, ML, or Data Science

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Remote Audio Programmer information

See Edison, NJ salary details

$12

$40

$71

How much do remote audio programmer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote audio programmer in Edison, NJ is $40.93, according to ZipRecruiter salary data. Most workers in this role earn between $26.63 and $53.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Audio Programmer, and why are they important?

To thrive as a Remote Audio Programmer, you need strong programming skills in languages like C++ or C#, a solid understanding of digital audio concepts, and a relevant degree or equivalent experience in computer science or audio engineering. Familiarity with audio middleware (such as FMOD or Wwise), version control systems (like Git), and digital audio workstations is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in this role. These competencies are essential for developing robust audio solutions, collaborating efficiently with distributed teams, and ensuring high-quality sound integration in media projects.

What is a Remote Audio Programmer?

A Remote Audio Programmer is a software developer who specializes in creating, implementing, and optimizing audio systems for digital products such as video games, mobile apps, or multimedia software, while working remotely. Their responsibilities may include developing audio engines, integrating sound effects and music, and ensuring high-quality audio performance across platforms. They often collaborate with audio designers, composers, and other developers to achieve the desired sound experience. Working remotely allows them to contribute from anywhere with a suitable internet connection. This role requires strong programming skills, typically in languages like C++ or C#, and a solid understanding of digital audio concepts.

How does a Remote Audio Programmer typically collaborate with team members across different locations?

Remote Audio Programmers regularly use project management tools, version control systems, and communication platforms to stay connected with audio designers, developers, and producers. Collaboration often involves participating in virtual meetings, sharing code and assets through repositories, and providing feedback on audio implementation. Clear documentation and proactive communication are crucial for ensuring that audio features align with project goals, especially when working across time zones. This remote setup fosters a flexible environment but requires strong self-motivation and organizational skills.

What is the difference between Remote Audio Programmer vs Remote Sound Designer?

AspectRemote Audio ProgrammerRemote Sound Designer
Required SkillsProgramming, audio integration, scriptingSound creation, editing, mixing
Work EnvironmentGame development, software companies, multimedia projectsMedia production, gaming, advertising
Common CertificationsProgramming certifications, audio engineeringSound design courses, audio engineering certifications

While both roles involve working with audio, a Remote Audio Programmer focuses on coding and integrating audio into software or games, whereas a Remote Sound Designer specializes in creating and editing sound assets. The roles often collaborate but require different skill sets and certifications, with the programmer emphasizing technical skills and the designer emphasizing creative sound work.

What are popular job titles related to Remote Audio Programmer jobs in Edison, NJ? For Remote Audio Programmer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Audio Programmer jobs in Edison, NJ look for? The top searched job categories for Remote Audio Programmer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Audio Programmer jobs? Cities near Edison, NJ with the most Remote Audio Programmer job openings:
Infographic showing various Remote Audio Programmer job openings in Edison, NJ as of June 2026, with employment types broken down into 70% Full Time, 12% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,133 per year, or $40.9 per hour.

Audio Inference Engineer, Model Efficiency

Cohere

Manhattan, NY โ€ข On-site, Remote

Other

Posted 11 days ago


Job description

Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
Why this role?
Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads.
You'll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.
Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.
You may be a good fit for the team if you have:
  • Significant experience developing high-performance audio or machine learning inference systems.
  • Proficiency with programming languages such as C++ and Python.
  • Hands-on experience with deep learning models for audio, speech, or language applications.
  • A bias for action and a strong results-oriented mindset.
It is a big plus if you also have considerable experience with:
  • GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs
  • Have experience with duplex real-time streaming architectures.
  • Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries).
  • Have experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems
  • Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization
How and Where We Work:
  • Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  • For those not near an office: a co-working benefit so you can work alongside others in your city.

If any of the above doesn't line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.