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Remote Embedded Systems Engineer Jobs in Lynn, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required ... Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity ...

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All JobsEmbedded Systems Engineer JobsRemote Embedded Systems Engineer JobsRemote Embedded Systems Engineer Jobs in Lynn, MA

Remote Embedded Systems Engineer information

See Lynn, MA salary details

$64.5K

$141.6K

$198K

How much do remote embedded systems engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote embedded systems engineer in Lynn, MA is $141,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $168,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Systems Engineer, you need a solid background in electrical engineering, proficiency in C/C++ programming, and experience with embedded hardware and software design. Familiarity with development tools such as debuggers, oscilloscopes, version control systems (like Git), and RTOS platforms, as well as certifications like Certified Embedded Systems Engineer, are commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills set top candidates apart in this role. These skills are essential for developing reliable, high-performance embedded solutions while collaborating efficiently in distributed teams.

How do Remote Embedded Systems Engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Systems Engineers often collaborate with hardware teams through video conferencing, collaborative design tools, and remote access to development boards. Regular virtual meetings are scheduled for project updates, troubleshooting, and aligning on hardware-software integration requirements. To stay effective, engineers may use remote debugging tools and sometimes ship prototype hardware to their home office, ensuring they can test and validate firmware in real time. Clear documentation and proactive communication are essential for overcoming the physical distance and ensuring successful project outcomes.

What is a Remote Embedded Systems Engineer?

A Remote Embedded Systems Engineer is a professional who designs, develops, and maintains embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems—while working remotely. These engineers work with hardware and software, often programming microcontrollers or processors, to create solutions for products like smart devices, automotive systems, or industrial machines. Their remote role means they collaborate virtually with teams, using tools for code development, debugging, and communication. Strong knowledge of C/C++, Linux, and real-time operating systems (RTOS) is often required. Remote Embedded Systems Engineers play a crucial role in the growing fields of IoT, automation, and smart technologies.

What is the difference between Remote Embedded Systems Engineer vs Remote Firmware Developer?

AspectRemote Embedded Systems EngineerRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of embedded C/C++Bachelor's in Computer Science, Electrical Engineering; proficiency in embedded C, assembly, and RTOS
Work EnvironmentDesigning and testing hardware-software integration, often in R&D labs or remote setupsDeveloping low-level code for hardware devices, often in embedded systems or IoT projects
Employer & Industry UsageElectronics, automotive, aerospace, IoT companiesConsumer electronics, industrial automation, IoT device manufacturers

While both roles involve working with embedded hardware and software, the Remote Embedded Systems Engineer typically focuses on system design, integration, and testing, whereas the Remote Firmware Developer specializes in writing low-level firmware code for specific hardware components. Both roles require similar technical skills and often overlap in industry applications.

What are the most commonly searched types of Embedded Systems Engineer jobs in Lynn, MA? The most popular types of Embedded Systems Engineer jobs in Lynn, MA are:
What cities near Lynn, MA are hiring for Remote Embedded Systems Engineer jobs? Cities near Lynn, MA with the most Remote Embedded Systems Engineer job openings:
Remote Embedded Systems Engineer jobs near you
Infographic showing various Remote Embedded Systems Engineer job openings in Lynn, MA as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $141,584 per year, or $68.1 per hour.

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 23 days ago

Job description

Help us bridge machine learning research and real-world deployment!

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 Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

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

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.