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Remote Embedded Systems Engineer Jobs in Danvers, MA

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 ... build systems. This position can be based in Burlington, Ma or remote. Qualifications ...

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 ... build systems. This position can be based in Burlington, Ma or remote. Qualifications ...

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 ... build systems. This position can be based in Burlington, Ma or remote. Qualifications ...

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 ... build systems. This position can be based in Burlington, Ma or remote. Qualifications ...

Lightmatter

Staff Embedded Software Engineer

Boston, MA · On-site

$175K - $210K/yr

... systems teams to develop security, telemetry, virtualization, and remote administration ... Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.

FortifyIQ

Firmware Engineer (Remote)

Salem, MA · On-site +1

We're looking for a motivated Firmware Engineer to join a dynamic team developing embedded software for high-performance memory and system-on-chip platforms. You'll work hands-on with both firmware ...

Atlas Technica

Systems Engineer (Remote)

Boston, MA · Remote

Systems Engineer - Hybrid Reports to: Client Technology Manager Location: Boston, MA Type: Full-Time Hourly, Non-Exempt Atlas Technica's mission is to shoulder IT management, user support, and ...

Humana

Senior Systems Engineer

Boston, MA · Remote

$113K - $155K/yr

Systems software engineering/programming is a specialized area of software engineering/programming ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Humana

Senior Systems Engineer

Boston, MA · Remote

$113K - $155K/yr

Systems software engineering/programming is a specialized area of software engineering/programming ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

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All JobsRemote Embedded Systems Engineer JobsRemote Embedded Systems Engineer Jobs in Danvers, MA

Remote Embedded Systems Engineer information

See Danvers, MA salary details

$66.1K

$145.2K

$203K

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

As of Jun 25, 2026, the average yearly pay for remote embedded systems engineer in Danvers, MA is $145,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $172,900.00 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 popular job titles related to Remote Embedded Systems Engineer jobs in Danvers, MA? For Remote Embedded Systems Engineer jobs in Danvers, MA, the most frequently searched job titles are:
What cities near Danvers, MA are hiring for Remote Embedded Systems Engineer jobs? Cities near Danvers, MA with the most Remote Embedded Systems Engineer job openings:
Remote Embedded Systems Engineer jobs near you
Software Engineer, Embedded Systems

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA • Remote

$150K - $185K/yr

Full-time

Posted 3 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

  • Bachelor’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.