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Remote Embedded Software Intern Jobs in West Roxbury, MA

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 ...

Redhat

Software Engineer

Boston, MA · On-site +1

$181K - $299K/yr

... programming; embedded systems and hardware enablement of these systems; cryptography and ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

RaySecur Inc

Senior Software Engineer

Westwood, MA · On-site +1

$137K - $180K/yr

... hardening • Embedded or firmware-adjacent development experience • Frontend experience ... We support flexibility and work-life balance, offering both remote and in-office work options ...

Liberty Mutual

Associate Software Engineer

Boston, MA · Remote

This is a remote position. You will be required to go into the office twice a month if you reside ... inclusion embedded in every aspect of our culture and reflected in everyday interactions. This ...

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See West Roxbury, MA salary details

$13

$26

$39

How much do remote embedded software intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote embedded software intern in West Roxbury, MA is $26.03, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $29.57 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Software Intern, you generally need a solid understanding of computer science fundamentals, C/C++ programming, and familiarity with microcontroller architectures, often supported by ongoing or completed coursework in electrical engineering or computer engineering. Experience with development tools such as integrated development environments (IDEs), version control systems like Git, and debugging hardware or simulators is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for remote collaboration and learning. These skills and qualities are important because they enable interns to contribute meaningfully to real-world embedded systems projects while adapting to remote teamwork and project demands.

What are some common challenges faced by Remote Embedded Software Interns, and how can they be managed effectively?

Remote Embedded Software Interns often encounter challenges such as limited access to physical hardware for testing, coordinating with geographically dispersed teams, and troubleshooting issues without in-person support. To address these challenges, interns should proactively communicate with their mentors, make use of simulation tools, and participate in regular virtual meetings to stay aligned with project goals. Establishing a strong routine for documenting progress and asking for feedback can also help interns stay engaged and overcome obstacles effectively.

What is a Remote Embedded Software Intern?

A Remote Embedded Software Intern is a student or recent graduate who works remotely to assist in the development and testing of software that runs on embedded systems, such as microcontrollers or IoT devices. Their tasks often include writing code in languages like C or C++, debugging hardware-software interactions, and collaborating with engineering teams through virtual platforms. The position provides hands-on experience in embedded systems while allowing interns to work from anywhere, making it ideal for gaining industry experience without the need to relocate.
What job categories do people searching Remote Embedded Software Intern jobs in West Roxbury, MA look for? The top searched job categories for Remote Embedded Software Intern jobs in West Roxbury, MA are:
What cities near West Roxbury, MA are hiring for Remote Embedded Software Intern jobs? Cities near West Roxbury, MA with the most Remote Embedded Software Intern job openings:
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Software Engineer - AI Platforms & Edge Computing

Software Engineer - AI Platforms & Edge Computing

MatrixSpace

Burlington, MA • Remote

$125K - $160K/yr

Full-time

Posted 9 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.