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Remote Embedded Software Intern Jobs (NOW HIRING)

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Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Apply Early

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Senior Embedded Software Engineer

Boston, MA · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Sr. Director, Embedded Engineering

WA · Remote

$126K - $166K/yr

CI/CD for software, automated testing, and reliable OTA update infrastructure at fleet scale ... Work with Backend Engineering to define clean device-to-cloud interfaces, remote device management ...

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

As of Jul 6, 2026, the average hourly pay for remote embedded software intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 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.
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Remote Embedded Software Intern jobs near you
Infographic showing various Remote Embedded Software Intern job openings in the United States as of June 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Software Engineer, Embedded Systems

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA • Remote

$150K - $185K/yr

Full-time

Posted 13 days ago

Job description

Help bring AI and machine learning capabilities to embedded edge platforms by building high-performance software that runs close to the hardware.

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.

We're looking for a hands-on Embedded Software Engineer to build high-performance software that runs close to the hardware. You'll develop production embedded applications in C/C++, optimize software for resource-constrained edge platforms, and work across Linux, networking, and system-level software.

If you're the kind of engineer who can read complex C/C++ code like a book, enjoys understanding entire systems rather than isolated components, and loves solving practical engineering problems, we'd love to talk.

What You'll Do

  • Port, optimize, and enhance platform software for embedded and resource-constrained compute environments.
  • Deploy, validate, profile, and optimize AI/ML-enabled applications on edge hardware.
  • Develop production-quality software using C/C++, Python, Golang, and Linux-based technologies.
  • Collaborate with Data Science teams to integrate AI/ML models into production software pipelines.
  • Work across Linux kernel, device interfaces, networking, and system-level software components.
  • Participate in architecture reviews, code reviews, testing, troubleshooting, and technical planning.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. 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.

THIS IS NOT A FULLY REMOTE POSITION.

Required

  • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent practical experience.
  • 4+ years of professional software engineering experience or equivalent demonstrated expertise
  • Professional experience building, deploying, and maintaining production embedded software systems on edge devices with constrained CPU, GPU, memory, storage, and power resources.
  • Expert-level proficiency in C/C++ with the ability to quickly understand, debug, and extend large existing codebases. This role is not a fit for candidates without deep C/C++ experience. Working knowledge of Golang and Python3.8+ preferred.
  • Strong experience with Yocto-based embedded Linux distributions, including image customization, package management, board support packages, kernel configuration and tuning, and production deployment workflows.
  • Strong debugging, profiling, and performance optimization skills on constrained compute platforms.
  • Ability to collaborate effectively across software, firmware, DevOps, data science, and hardware teams.

Someone Who Will Thrive in This Role

  • Enjoys understanding complete systems—not just individual components.
  • Takes ownership of complex technical problems and follows them through to production.
  • Is comfortable diving into large existing codebases and becoming productive quickly.
  • Values practical, reliable engineering over unnecessary complexity.
  • Collaborates effectively across software, firmware, hardware, and AI teams.
  • Has experience at smaller or fast-growing companies where engineers own broad portions of the product rather than a single isolated component.
  • Has experience developing connected devices, IoT platforms, fleet management systems, robotics, or other distributed edge computing products.

Bonus Points

  • Experience deploying AI/ML models usingTensorRT, ONNX Runtime,PyTorch, TensorFlow Lite, or similar frameworks.
  • Experience with NVIDIA Jetson, CUDA, GPUs, NPUs, or other edge accelerators.
  • Background in radar, RF sensing, robotics, autonomy, perception systems, signal processing, or sensor fusion.
  • Experience with hardware-in-the-loop testing, board bring-up, and embedded platform validation.

At MatrixSpace, software engineering is where advanced sensing technology meets real-world deployment. You'll help bring AI-powered capabilities to edge platforms so our customers can gain actionable insights from complex environments. If that sounds exciting, we'd love to hear from you.