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Embedded Systems Engineering Jobs in Boston, MA (NOW HIRING)

Senior Systems Engineer

Framingham, MA ยท On-site

$107K - $147K/yr

Experience in consumer audio, automotive audio, wearables, or other complex embedded product domains. * Experience using model-based systems engineering (MBSE) approaches to support architecture ...

Senior Systems Engineer

Framingham, MA

$107K - $147K/yr

Experience in consumer audio, automotive audio, wearables, or other complex embedded product domains. * Experience using model-based systems engineering (MBSE) approaches to support architecture ...

Embedded Software- Engineer

Lexington, MA ยท On-site

$120 - $130/hr

Designs, develops, codes, tests and debugs system software. Involved in specifications, design and development of embedded firmware in engineering projects. Analyzes and enhances efficiency ...

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Embedded Systems Engineering information

See Boston, MA salary details

$67.9K

$149.1K

$208.6K

How much do embedded systems engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for embedded systems engineering in Boston, MA is $149,126.00, 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 are embedded systems engineering?

Embedded systems engineering is a branch of engineering focused on designing, developing, and maintaining specialized computing systems that perform dedicated functions within larger mechanical or electrical systems. These systems are found in a wide range of products, from household appliances and automobiles to medical devices and industrial machines. Embedded systems engineers work with both hardware and software to create solutions that are reliable, efficient, and tailored to specific tasks. Their work often involves programming microcontrollers, integrating sensors and actuators, and ensuring real-time performance. The field requires strong skills in programming, electronics, and systems integration.

What is the difference between Embedded Systems Engineering vs Firmware Engineering?

AspectEmbedded Systems EngineeringFirmware Engineering
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fields; often certifications in embedded systemsBachelor's in Computer Engineering, Electrical Engineering; certifications in embedded or firmware development
Work EnvironmentDesigning and developing hardware-software integrated systems, often in manufacturing or consumer electronicsWriting low-level code for hardware devices, often in consumer electronics, automotive, or IoT sectors
Employer & Industry UsageElectronics manufacturers, automotive, aerospace, consumer devicesConsumer electronics, IoT devices, automotive, industrial equipment

Embedded Systems Engineering focuses on designing complete embedded systems, including hardware and software integration. Firmware Engineering specializes in developing low-level code that runs directly on hardware devices. While both roles require similar skills and certifications, embedded engineers work on entire systems, whereas firmware engineers focus on firmware development for specific hardware components.

What are the key skills and qualifications needed to thrive as an Embedded Systems Engineer, and why are they important?

To thrive as an Embedded Systems Engineer, you need a solid background in computer engineering, electronics, and programming languages such as C/C++, often supported by a relevant degree. Familiarity with microcontrollers, real-time operating systems (RTOS), and tools like oscilloscopes and debuggers is typically required, along with certifications such as Certified Embedded Systems Engineer (CESE) being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills that help in collaborating with multidisciplinary teams and troubleshooting complex systems. These skills ensure the reliable development, integration, and maintenance of embedded solutions critical to modern technology.

How do Embedded Systems Engineers typically collaborate with cross-functional teams during product development?

Embedded Systems Engineers frequently work alongside hardware engineers, software developers, and quality assurance teams to design and integrate system components. This collaboration ensures seamless communication between hardware and software, and often involves joint debugging sessions, code reviews, and regular project meetings. Being able to clearly communicate technical requirements and constraints is vital, as is adapting to iterative feedback from other departments. Effective teamwork is essential to meet project timelines and deliver reliable embedded solutions.
What job categories do people searching Embedded Systems Engineering jobs in Boston, MA look for? The top searched job categories for Embedded Systems Engineering jobs in Boston, MA are:
Infographic showing various Embedded Systems Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $149,126 per year, or $71.7 per hour.
Software Engineer, Embedded Systems

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA โ€ข Remote

$150K - $185K/yr

Full-time

Posted 23 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

  • Bachelorโ€™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 systemsโ€”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.