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Work From Home Embedded Systems Software Engineer Jobs

Embedded Software Engineer

Clifton, NJ ยท On-site +1

$100 - $120K/hr

Choose Workila, and make delivering innovative work part of your extraordinary career. There are 8 ... Experience with VxWorks or other real time Operating Systems NICE-TO-HAVES * DOORs and MKS ...

Embedded Software Engineer Staff

Boulder, CO ยท On-site +1

$138K - $182K/yr

... engineer to support ongoing programs and internal research and development efforts focused on ... You will work on designing, developing, testing, and integrating software for embedded systems ...

Embedded Software Engineer (Remote, USA) Location: Remote, USA Employment type: Contract Indicative ... Embedded Systems * C/C++ * Firmware Development * RTOS * Microcontrollers * Testing * Debugging ...

Embedded Software Engineer Sr

Boulder, CO ยท On-site +1

$130K - $171K/yr

... engineer to support ongoing programs and internal research and development efforts focused on ... You will work on designing, developing, testing, and integrating software for embedded systems ...

Software Engineer I

Ottawa, IL ยท On-site +1

$70K - $80K/yr

You will work with Embedded Linux, Yocto, QNX, and real-time operating systems to build reliable ... Work from home program - once eligible * Referral Bonus About Advantech Founded in 1983, Advantech ...

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Work From Home Embedded Systems Software Engineer information

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$62.5K

$137.3K

$192K

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

As of Jun 28, 2026, the average yearly pay for work from home embedded systems software engineer in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

How do remote Embedded Systems Software Engineers typically collaborate with hardware teams when working from home?

Remote Embedded Systems Software Engineers often collaborate with hardware teams through video meetings, shared documentation, and remote access to test hardware. They may use simulation tools or connect to physical devices via VPNs to test their code. Communication is key, so regular stand-ups and clear documentation help bridge the distance. Some companies also ship prototype hardware to engineers' homes, allowing them to conduct hands-on debugging and development.

What is a Work From Home Embedded Systems Software Engineer?

A Work From Home Embedded Systems Software Engineer is a professional who designs, develops, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working remotely. These engineers use programming languages like C or C++ to create software that controls devices ranging from household appliances to industrial machines. They collaborate with teams virtually, using online tools to communicate and manage projects. Their role involves both hardware and software knowledge, as well as strong problem-solving skills.

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

AspectWork From Home Embedded Systems Software EngineerEmbedded Systems Firmware Developer
CredentialsBachelor's in Computer Engineering or related field; certifications like ARM or IoT are commonSimilar educational background; often requires knowledge of hardware-specific certifications
Work EnvironmentRemote, flexible hours, collaboration via online toolsPrimarily on-site or hybrid, working closely with hardware teams
Industry UsageUsed across IoT, consumer electronics, automotive, and industrial sectorsPrimarily in embedded hardware, automotive, aerospace, and consumer electronics

While both roles involve embedded systems development, the Work From Home Embedded Systems Software Engineer focuses on software development remotely, often integrating with hardware teams virtually. The Embedded Systems Firmware Developer typically works on low-level firmware directly on hardware, often onsite. The remote role offers flexibility, whereas the firmware developer role emphasizes hardware interaction.

What are the key skills and qualifications needed to thrive as a Work From Home Embedded Systems Software Engineer, and why are they important?

To thrive as a Work From Home Embedded Systems Software Engineer, you need a strong background in computer science or electrical engineering, proficiency in C/C++ programming, and experience with embedded systems design. Familiarity with tools like debuggers, oscilloscopes, version control systems (such as Git), and real-time operating systems (RTOS) is typically required, along with relevant certifications like Certified Embedded Systems Engineer. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help engineers stand out in this remote role. These skills and qualities ensure the efficient development, testing, and maintenance of reliable embedded solutions while collaborating effectively with distributed teams.
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What cities are hiring for Work From Home Embedded Systems Software Engineer jobs? Cities with the most Work From Home Embedded Systems Software Engineer job openings:
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Infographic showing various Work From Home Embedded Systems Software Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 96% Full Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $137,274 per year, or $66 per hour.
Software Engineer, Embedded Systems

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA โ€ข Remote

$150K - $185K/yr

Full-time

Posted 5 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 Software Engineer, Embedded Systems to help deploy, optimize, and scale embedded software and AI/ML workloads on resource-constrained edge platforms. You'll spend time developing embedded applications, porting and optimizing AI/ML algorithms, and working across Linux, networking, and deployment environments. You'll work closely with Software, Radar Firmware, DevOps, and Data Science teams to deliver reliable, production-ready AI-enabled products.
If you're technically curious, practical, and energized by solving difficult systems-level challenges, 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.

Required

  • Bachelorโ€™s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent practical experience.
  • Professional experience building, deploying, and maintaining production embedded software systems on edge devices with constrained CPU, GPU, memory, storage, and power resources.
  • Strong embedded software development experience using C/C++, with 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 working close to hardware and solving complex systems-level challenges.
  • Takes ownership of problems from development through deployment and support.
  • Continuously seeks opportunities to improve performance, reliability, and maintainability, while also taking time to learn the ins and outs of the existing products.
  • Collaborates effectively across multidisciplinary engineering teams.
  • Balances technical depth with practical product delivery.
  • Enjoys building, optimizing, or experimenting with embedded systems, robotics, AI, or edge computing technologies.

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.