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Remote Embedded Audio Engineer Jobs in Boston, MA

Crowe LLP

Senior AI Engineer

Boston, MA · On-site +1

$113K - $155K/yr

... through embedded consulting and engineering, enabling clients to accelerate delivery, scale ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Silabs

Applications Engineer II

Boston, MA · On-site +1

$101K - $188K/yr

SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology ... Ability to communicate effectively with remote sites spanning multiple time zones Benefits & Perks ...

Plume

Senior Wireless Firmware Engineer

Boston, MA · Remote

$129K - $171K/yr

You will work across embedded firmware, wireless drivers, and system-level software to enable high ... Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #Wo ...

Quora

AI Automation Engineer -Remote

Brockton, MA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ...

Quora

AI Automation Engineer -Remote

Cambridge, MA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ...

Quora

AI Automation Engineer -Remote

Lowell, MA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ...

Quora

AI Automation Engineer -Remote

Babson Park, MA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ...

STR

Senior Software Engineer

Woburn, MA · On-site +1

$134K - $184K/yr

... embedded implementation. The Role: STR is hiring a Senior Software Engineer to be part of a multi ... Experience with algorithm optimization for real time systems, especially radar or remote sensing ...

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All JobsRemote Embedded Audio Engineer JobsRemote Embedded Audio Engineer Jobs in Boston, MA

Remote Embedded Audio Engineer information

See Boston, MA salary details

$79.8K

$132.5K

$178.2K

How much do remote embedded audio engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote embedded audio engineer in Boston, MA is $132,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $153,200.00 per year, depending on experience, location, and employer.

What is a Remote Embedded Audio Engineer?

A Remote Embedded Audio Engineer is a professional who designs, develops, and tests audio processing software and hardware that is integrated directly into electronic devices, such as smartphones, automotive systems, or IoT devices, while working remotely. Their responsibilities often include programming embedded systems, optimizing audio algorithms, and troubleshooting audio-related issues. They collaborate with cross-functional teams using digital communication tools and must ensure audio quality, performance, and compatibility within embedded platforms. Working remotely allows them to contribute to projects from anywhere, making use of cloud-based development environments and remote debugging tools.

How does a Remote Embedded Audio Engineer typically collaborate with cross-functional teams?

As a Remote Embedded Audio Engineer, you will regularly collaborate with hardware engineers, software developers, and product managers through virtual meetings, project management platforms, and code repositories. Effective communication is essential, as you’ll be responsible for integrating audio solutions into embedded systems and ensuring alignment with overall product goals. Remote team members often rely on clear documentation, regular updates, and collaborative debugging sessions to overcome technical challenges and maintain progress. Building strong virtual working relationships and proactively reaching out for clarifications are key to success in this distributed environment.

What is the difference between Remote Embedded Audio Engineer vs Remote Audio Software Developer?

AspectRemote Embedded Audio EngineerRemote Audio Software Developer
CredentialsBachelor's in Electrical Engineering, Audio Engineering, or related field; experience with embedded systemsBachelor's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentEmbedded hardware platforms, audio processing units, development labsSoftware development environments, cloud platforms, digital audio workstations
Industry UsageConsumer electronics, automotive, professional audioMusic apps, digital audio platforms, audio processing software
Common Search/ComparisonRemote Embedded Audio Engineer vs Remote Audio Software Developer

The main difference lies in their focus: Remote Embedded Audio Engineers work on hardware-based audio systems, integrating audio processing into embedded devices, while Remote Audio Software Developers focus on creating software applications for audio processing. Both roles require strong technical skills, but their work environments and end products differ significantly.

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

To excel as a Remote Embedded Audio Engineer, you need a solid background in embedded systems, digital signal processing, and audio engineering, typically supported by a degree in electrical engineering or a related field. Familiarity with programming languages like C/C++, audio codecs, real-time operating systems (RTOS), and tools such as MATLAB or LabVIEW is essential, along with experience in version control systems like Git. Strong problem-solving skills, attention to detail, and effective remote communication abilities are crucial soft skills in this role. These competencies ensure the reliable design and integration of audio solutions in embedded systems, enabling clear collaboration and high-quality product delivery from a remote setting.
What are popular job titles related to Remote Embedded Audio Engineer jobs in Boston, MA? For Remote Embedded Audio Engineer jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Remote Embedded Audio Engineer jobs? Cities near Boston, MA with the most Remote Embedded Audio Engineer job openings:
Remote Embedded Audio Engineer jobs near you
Software Engineer - AI Platforms & Edge Computing

Software Engineer - AI Platforms & Edge Computing

MatrixSpace

Burlington, MA • Remote

$125K - $160K/yr

Full-time

Posted 3 days ago

Job description

At MatrixSpace, we are building technology that bridges the physical and digital worlds — combining embedded systems, radar sensing, cloud computing, and AI to unlock powerful real-world intelligence.

We’re looking for a software engineer to help build and scale our edge and cloud platform for AI-powered applications. In this role, you’ll work on backend services, distributed systems, and infrastructure that enable real-time data processing and intelligent decision-making at the edge.

You’ll collaborate closely with experienced engineers across platform, AI, and embedded systems, contributing to the design and implementation of scalable systems while growing your skills in edge computing and modern cloud infrastructure.

This is not a fully remote role -- you will be required to be onsite at least a few days per week!

Key Responsibilities:
  • Design and implement platform software supporting AI workloads, edge inference, and distributed data pipelines across hybrid environments.
  • Contribute to the architecture, design, and deployment of scalable systems in both cloud-based and on-premises runtime environments.
  • Develop and maintain high-performance components in C/C++, Go, and Python, optimized for edge and real-time environments.
  • Build and manage API-based middleware that connects AI models, data services, and frontend interfaces.
  • Implement service-oriented architectures (SOA) and Software-as-a-Service (SaaS) frameworks to support modular, extensible system design.
  • Leverage Infrastructure-as-Code (IaC) for automated provisioning, deployment, and configuration management.
  • Employ containerization (Docker) and orchestration (Kubernetes) for edge-to-cloud deployments and lifecycle management.
  • Integrate networking protocols (TCP/IP, HTTPS) for secure, high-throughput edge-cloud communication.
  • Use CMake and BASH scripting for build automation, testing, and deployment pipelines.
  • Collaborate using Git-based configuration management systems in a modern CI/CD environment.
  • Work closely with data scientists and AI engineers to embed ML models into production-grade edge systems.
  • Optimize performance, reliability, and scalability across resource-constrained and distributed computing environments.
Required Skills and Experience:

Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

  • 2-4 years of software engineering experience in embedded, cloud, or distributed systems.
  • Proficiency and recent experience coding in C/C++ required.
  • Strong knowledge of edge computing, AI platform development, or real-time data systems.
  • Experience building backend systems or APIs
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Understanding of basic distributed systems concepts (e.g., scalability, latency, reliability)
  • Ability to collaborate effectively and learn quickly in a fast-paced environment
Preferred Qualifications
  • Experience with Go, and/or Python a plus.
  • Experience with containers or Kubernetes
  • Exposure to infrastructure-as-code or CI/CD pipelines
  • Interest in AI/ML systems or model deployment
  • Exposure to edge computing or real-time systems
Why Join Us
  • Join a team that thrives on innovation and collaboration.
  • Work on cutting-edge technology bridging embedded systems, cloud computing, and AI applications
  • Collaborate with world-class engineers solving complex distributed systems challenges
  • High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives
  • Competitive compensation, equity options, and a culture that values innovation and technical excellence.

Compensation range: $125,000 - $160,000. Actual position within the range will be determined based on experience level of the candidate.