ZipRecruiter

Log In

1

Embedded Software Engineer Jobs in Haverhill, MA

FORT Robotics

Embedded Software Engineer II

Boston, MA · On-site

$125K - $150K/yr

As an Embedded Software Engineer II, you will own specific components of our embedded stack, working close to the hardware on the real-time firmware that our safety devices depend on. Most of your ...

STR

Senior Embedded Software Engineer

Woburn, MA · On-site

$135K - $177K/yr

SDD is seeking a Senior Embedded Software Engineer to support the design, development, and implementation of real-time processing solutions in software for advanced multi-function Radar systems. You ...

Amazon

Embedded Software Engineer, Mobile Robotics

Reading, MA · On-site

$138K - $182K/yr

Amazon Robotics is seeking an Embedded Software Engineer with Rust programming expertise to join our Safety Perception team and help build the safety-rated sensor processing firmware for one of the ...

previous page

Showing results 41-60

All JobsEmbedded Software Engineer JobsEmbedded Software Engineer Jobs in Haverhill, MA

Embedded Software Engineer information

See Haverhill, MA salary details

$73.1K

$160.2K

$181.7K

How much do embedded software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for embedded software engineer in Haverhill, MA is $160,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,700.00 per year, depending on experience, location, and employer.

What is an embedded software engineer?

Embedded Software Engineers are professionals who design, develop, and maintain software that runs on embedded systems—specialized computing devices that are part of larger systems, such as cars, medical devices, industrial machines, and consumer electronics. Their work involves programming in languages like C or C++ to interact closely with hardware components, ensuring optimal performance, reliability, and safety. Embedded Software Engineers work closely with hardware engineers to integrate and test software with physical devices, often working within real-time and resource-constrained environments. Their expertise is crucial in developing the 'brains' of many devices we use every day.

What are the key skills and qualifications needed to thrive as an embedded software engineer?

To thrive as an Embedded Software Engineer, you need a solid background in computer science or electrical engineering, strong programming skills in C/C++, and experience with embedded systems design. Familiarity with real-time operating systems (RTOS), microcontroller architectures, debugging tools, and version control systems like Git is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top engineers apart. These competencies are crucial for building reliable, efficient, and safe embedded solutions that meet industry standards.

How does an embedded software engineer typically collaborate with hardware engineers during product development?

Embedded Software Engineers work closely with hardware engineers throughout the product development lifecycle. Collaboration often involves joint design reviews, debugging sessions, and integration testing to ensure software and hardware function seamlessly together. Effective communication is crucial, as changes in hardware can impact software functionality and vice versa. This cross-disciplinary teamwork helps resolve technical issues quickly and ensures the end product meets performance and reliability standards.

What is the difference between Embedded Software Engineer vs Firmware Engineer?

AspectEmbedded Software EngineerFirmware Engineer
CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related fields; often requires knowledge of C/C++Similar credentials; strong C/C++ skills, understanding of hardware
Work EnvironmentDevelops software for embedded systems in various industries like automotive, IoT, consumer electronicsFocuses on low-level hardware interaction, often working closely with hardware teams
Industry UsageCommon in automotive, medical devices, consumer electronics, industrial automationPrimarily in consumer electronics, IoT devices, and hardware startups

Embedded Software Engineers design and develop software for embedded systems, focusing on system-level programming. Firmware Engineers write low-level code that directly interacts with hardware components. While both roles require similar skills and work environments, Embedded Software Engineers often work on a broader range of software, whereas Firmware Engineers focus on hardware-specific code. Understanding these differences helps in choosing the right career path or job search focus.

Are embedded software engineers in demand?

Embedded software engineers are in high demand due to the growth of IoT, automotive, medical devices, and consumer electronics industries. They often require skills in C, C++, and real-time operating systems, with job opportunities increasing globally as embedded systems become more integral to technology development.
More about Embedded Software Engineer jobs

What cities near Haverhill, MA are hiring for Embedded Software Engineer jobs?

Cities near Haverhill, MA with the most Embedded Software Engineer job openings:

Embedded Software Engineer jobs near you
Infographic showing various Embedded Software Engineer job openings in Haverhill, MA as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $160,206 per year, or $77 per hour.

Software Engineer, Embedded Systems

MatrixSpace

Burlington, MA • On-site

$100 - $125/hr

Other

Re-posted 16 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 develop embedded applications, port and optimize AI/ML algorithms, and work across Linux, networking, and deployment environments. You’ll collaborate with Software, Radar Firmware, DevOps, and Data Science teams to deliver reliable, production‑ready AI‑enabled products.

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 the 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 using TensorRT, 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.

#J-18808-Ljbffr

Apply