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Work From Home Embedded Systems Engineer Jobs in Boston, MA

Privafy

Linux Embedded Software Engineer

Burlington, MA · On-site +1

$143K - $188K/yr

Developer for C/C++ for micro-controller, Linux, and/or Android embedded systems. Work with an embedded Enginering team on a wide range of projects integrating hardware security into IoT devices in a ...

Privafy

Android Embedded Software Engineer

Burlington, MA · On-site +1

$143K - $188K/yr

Developer for C/C++ for micro-controller, Linux, and/or Android embedded systems. Work with an embedded Enginering team on a wide range of projects integrating hardware security into IoT devices in a ...

Privafy

Android Embedded Software Engineer

Burlington, MA · On-site +1

$143K - $188K/yr

Developer for C/C++ for micro-controller, Linux, and/or Android embedded systems. Work with an embedded Enginering team on a wide range of projects integrating hardware security into IoT devices in a ...

Privafy

Linux Embedded Software Engineer

Burlington, MA · On-site +1

$143K - $188K/yr

Developer for C/C++ for micro-controller, Linux, and/or Android embedded systems. Work with an embedded Enginering team on a wide range of projects integrating hardware security into IoT devices in a ...

The Jernigan Agency

WORK FROM HOME

Boston, MA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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All JobsEmbedded Systems Engineer JobsWork From Home Embedded Systems Engineer JobsWork From Home Embedded Systems Engineer Jobs in Boston, MA

Work From Home Embedded Systems Engineer information

See Boston, MA salary details

$67.9K

$149.1K

$208.6K

How much do work from home embedded systems engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for work from home embedded systems engineer in Boston, MA is $149,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $177,600.00 per year, depending on experience, location, and employer.

What is the difference between Work From Home Embedded Systems Engineer vs Work From Home Firmware Developer?

AspectWork From Home Embedded Systems EngineerWork From Home Firmware Developer
Primary FocusDesigning and developing embedded hardware and software systemsWriting and testing low-level firmware for devices
Required SkillsEmbedded C/C++, hardware knowledge, system integrationEmbedded C, microcontroller programming, debugging firmware
Work EnvironmentCollaborates with hardware teams, often in manufacturing or tech companiesFocuses on software development, often in tech or IoT firms
CertificationsEmbedded systems certifications, sometimes hardware-relatedEmbedded systems or microcontroller certifications

Both roles involve embedded systems and often require similar technical skills and certifications. The main difference lies in focus: embedded systems engineers work on both hardware and software integration, while firmware developers concentrate on writing low-level code for microcontrollers. Both roles can be performed remotely and are common in tech, IoT, and manufacturing industries.

What is a work from home embedded systems engineer?

A Work From Home Embedded Systems Engineer is a technical professional who designs, develops, and tests embedded systems, such as microcontrollers and specialized computing devices, while working remotely. Their work involves programming hardware-software interfaces, optimizing system performance, and troubleshooting issues, often for industries like automotive, consumer electronics, or IoT. Remote embedded systems engineers use collaboration tools and remote access to hardware to complete their tasks, ensuring devices function reliably and efficiently. This role typically requires strong programming skills, hardware knowledge, and experience with embedded development environments.

How does working remotely as an embedded systems engineer affect collaboration with hardware teams?

Remote Embedded Systems Engineers often collaborate closely with hardware teams through virtual meetings, shared documentation, and remote access tools. While some hands-on tasks may require coordination with on-site colleagues or scheduled lab time, most design, coding, and debugging activities can be performed remotely. Clear communication and the use of collaborative platforms are key to overcoming the challenge of not being physically present with the hardware. Teams typically establish structured workflows to ensure smooth integration and testing across locations.

Is there a demand for work from home embedded systems engineers?

There is increasing demand for work from home embedded systems engineers due to the growth of IoT, automation, and remote monitoring technologies. Companies seek professionals skilled in programming, hardware integration, and tools like C/C++ and RTOS, often requiring certifications and experience with remote collaboration tools. This trend is expected to continue as industries prioritize flexible and distributed work arrangements.

Can you work remotely as a work from home embedded systems engineer?

Work from home embedded systems engineers can often perform their tasks remotely, especially if their role involves software development, coding, and testing using tools like IDEs and remote collaboration platforms. However, some positions may require on-site presence for hardware testing, debugging, or equipment setup, depending on the company's policies and project needs.

What are the key skills and qualifications needed to thrive as a work from home embedded systems engineer?

To thrive as a Work From Home Embedded Systems Engineer, you need a solid background in computer engineering, embedded programming (C/C++), and experience with microcontrollers or real-time operating systems, often supported by a relevant degree. Familiarity with version control systems like Git, hardware simulation tools, and debugging equipment is typically required. Strong problem-solving skills, self-motivation, and the ability to communicate complex technical concepts remotely are essential soft skills for this role. These skills and qualities are crucial for delivering reliable embedded solutions, collaborating effectively with distributed teams, and maintaining productivity in a remote work environment.
What are popular job titles related to Work From Home Embedded Systems Engineer jobs in Boston, MA? For Work From Home Embedded Systems Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Work From Home Embedded Systems Engineer jobs in Boston, MA look for? The top searched job categories for Work From Home Embedded Systems Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Work From Home Embedded Systems Engineer jobs? Cities near Boston, MA with the most Work From Home Embedded Systems Engineer job openings:
Work From Home Embedded Systems Engineer jobs near you

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA • Remote

$150K - $185K/yr

Full-time

Re-posted 20 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.